Get_dataset_info.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "60c0131b",
   "metadata": {},
   "source": [
    "### Get dataset_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a490082c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pickle\n",
    "import edt\n",
    "\n",
    "def save_obj(obj, name ):\n",
    "    with open(name + '.pkl', 'wb') as f:\n",
    "        pickle.dump(obj, f, pickle.HIGHEST_PROTOCOL)\n",
    "\n",
    "def load_obj(name ):\n",
    "    with open(name + '.pkl', 'rb') as f:\n",
    "        return pickle.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66d11430",
   "metadata": {},
   "source": [
    "### Get pre-cropped LIDC-IDRI dataset info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d1732f0c",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[WinError 3] 지정된 경로를 찾을 수 없습니다: './data/Airway/Precrop_dataset_for_LIDC-IDRI/image'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32md:\\NaviAirway\\Get_dataset_info.ipynb Cell 4\u001b[0m in \u001b[0;36m<cell line: 5>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W3sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m Precrop_dataset_for_train_raw_path \u001b[39m=\u001b[39m Precrop_dataset_for_train_path\u001b[39m+\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m/image\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W3sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m Precrop_dataset_for_train_label_path \u001b[39m=\u001b[39m Precrop_dataset_for_train_path\u001b[39m+\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m/label\u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m----> <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W3sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m raw_case_name_list \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39;49mlistdir(Precrop_dataset_for_train_raw_path)\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W3sZmlsZQ%3D%3D?line=5'>6</a>\u001b[0m label_case_name_list \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mlistdir(Precrop_dataset_for_train_label_path)\n\u001b[0;32m      <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W3sZmlsZQ%3D%3D?line=7'>8</a>\u001b[0m \u001b[39massert\u001b[39;00m raw_case_name_list \u001b[39m==\u001b[39m label_case_name_list\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 3] 지정된 경로를 찾을 수 없습니다: './data/Airway/Precrop_dataset_for_LIDC-IDRI/image'"
     ]
    }
   ],
   "source": [
    "Precrop_dataset_for_train_path = \"./data/Airway/Precrop_dataset_for_LIDC-IDRI\"\n",
    "Precrop_dataset_for_train_raw_path = Precrop_dataset_for_train_path+\"/image\"\n",
    "Precrop_dataset_for_train_label_path = Precrop_dataset_for_train_path+\"/label\"\n",
    "\n",
    "raw_case_name_list = os.listdir(Precrop_dataset_for_train_raw_path)\n",
    "label_case_name_list = os.listdir(Precrop_dataset_for_train_label_path)\n",
    "\n",
    "assert raw_case_name_list == label_case_name_list\n",
    "\n",
    "data_dict = dict()\n",
    "\n",
    "for idx, name in enumerate(raw_case_name_list):\n",
    "    print(\"process \"+str(name)+\" | \"+str(idx/len(raw_case_name_list)), end=\"\\r\")\n",
    "    data_dict[name.split(\".\")[0]]={}\n",
    "    data_dict[name.split(\".\")[0]][\"image\"]=Precrop_dataset_for_train_raw_path+\"/\"+name\n",
    "    data_dict[name.split(\".\")[0]][\"label\"]=Precrop_dataset_for_train_label_path+\"/\"+name\n",
    "    label_temp = np.load(Precrop_dataset_for_train_label_path+\"/\"+name)\n",
    "    data_dict[name.split(\".\")[0]][\"airway_pixel_num\"]=np.sum(label_temp)\n",
    "    \n",
    "    label_temp=np.array(label_temp, dtype=np.uint32, order='F')\n",
    "    label_temp_edt=edt.edt(\n",
    "        label_temp,\n",
    "        black_border=True, order='F',\n",
    "        parallel=1)\n",
    "    \n",
    "    data_dict[name.split(\".\")[0]][\"airway_pixel_num_boundary\"] = len(np.where(label_temp_edt==1)[0])\n",
    "    data_dict[name.split(\".\")[0]][\"airway_pixel_num_inner\"] = len(np.where(label_temp_edt>1)[0])\n",
    "\n",
    "save_obj(data_dict, \"dataset_info_LIDC_IDRI_crops_128\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1d4298c",
   "metadata": {},
   "source": [
    "### Get pre-cropped EXACT09 dataset info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e6781c9b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "process EXACT09_CASE01_362.npy | 0.03317481884057971455\r"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32md:\\NaviAirway\\Get_dataset_info.ipynb Cell 6\u001b[0m in \u001b[0;36m<cell line: 12>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W5sZmlsZQ%3D%3D?line=14'>15</a>\u001b[0m data_dict[name\u001b[39m.\u001b[39msplit(\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)[\u001b[39m0\u001b[39m]][\u001b[39m\"\u001b[39m\u001b[39mimage\u001b[39m\u001b[39m\"\u001b[39m]\u001b[39m=\u001b[39mPrecrop_dataset_for_train_raw_path\u001b[39m+\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m/\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m+\u001b[39mname\n\u001b[0;32m     <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W5sZmlsZQ%3D%3D?line=15'>16</a>\u001b[0m data_dict[name\u001b[39m.\u001b[39msplit(\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)[\u001b[39m0\u001b[39m]][\u001b[39m\"\u001b[39m\u001b[39mlabel\u001b[39m\u001b[39m\"\u001b[39m]\u001b[39m=\u001b[39mPrecrop_dataset_for_train_label_path\u001b[39m+\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m/\u001b[39m\u001b[39m\"\u001b[39m\u001b[39m+\u001b[39mname\n\u001b[1;32m---> <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W5sZmlsZQ%3D%3D?line=16'>17</a>\u001b[0m label_temp \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39;49mload(Precrop_dataset_for_train_label_path\u001b[39m+\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m/\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39m+\u001b[39;49mname)\n\u001b[0;32m     <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W5sZmlsZQ%3D%3D?line=17'>18</a>\u001b[0m data_dict[name\u001b[39m.\u001b[39msplit(\u001b[39m\"\u001b[39m\u001b[39m.\u001b[39m\u001b[39m\"\u001b[39m)[\u001b[39m0\u001b[39m]][\u001b[39m\"\u001b[39m\u001b[39mairway_pixel_num\u001b[39m\u001b[39m\"\u001b[39m]\u001b[39m=\u001b[39mnp\u001b[39m.\u001b[39msum(label_temp)\n\u001b[0;32m     <a href='vscode-notebook-cell:/d%3A/NaviAirway/Get_dataset_info.ipynb#W5sZmlsZQ%3D%3D?line=19'>20</a>\u001b[0m label_temp\u001b[39m=\u001b[39mnp\u001b[39m.\u001b[39marray(label_temp, dtype\u001b[39m=\u001b[39mnp\u001b[39m.\u001b[39muint32, order\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mF\u001b[39m\u001b[39m'\u001b[39m)\n",
      "File \u001b[1;32mc:\\Users\\sendo\\Anaconda3\\lib\\site-packages\\numpy\\lib\\npyio.py:440\u001b[0m, in \u001b[0;36mload\u001b[1;34m(file, mmap_mode, allow_pickle, fix_imports, encoding)\u001b[0m\n\u001b[0;32m    438\u001b[0m         \u001b[39mreturn\u001b[39;00m \u001b[39mformat\u001b[39m\u001b[39m.\u001b[39mopen_memmap(file, mode\u001b[39m=\u001b[39mmmap_mode)\n\u001b[0;32m    439\u001b[0m     \u001b[39melse\u001b[39;00m:\n\u001b[1;32m--> 440\u001b[0m         \u001b[39mreturn\u001b[39;00m \u001b[39mformat\u001b[39;49m\u001b[39m.\u001b[39;49mread_array(fid, allow_pickle\u001b[39m=\u001b[39;49mallow_pickle,\n\u001b[0;32m    441\u001b[0m                                  pickle_kwargs\u001b[39m=\u001b[39;49mpickle_kwargs)\n\u001b[0;32m    442\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    443\u001b[0m     \u001b[39m# Try a pickle\u001b[39;00m\n\u001b[0;32m    444\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m allow_pickle:\n",
      "File \u001b[1;32mc:\\Users\\sendo\\Anaconda3\\lib\\site-packages\\numpy\\lib\\format.py:757\u001b[0m, in \u001b[0;36mread_array\u001b[1;34m(fp, allow_pickle, pickle_kwargs)\u001b[0m\n\u001b[0;32m    754\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    755\u001b[0m     \u001b[39mif\u001b[39;00m isfileobj(fp):\n\u001b[0;32m    756\u001b[0m         \u001b[39m# We can use the fast fromfile() function.\u001b[39;00m\n\u001b[1;32m--> 757\u001b[0m         array \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39;49mfromfile(fp, dtype\u001b[39m=\u001b[39;49mdtype, count\u001b[39m=\u001b[39;49mcount)\n\u001b[0;32m    758\u001b[0m     \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    759\u001b[0m         \u001b[39m# This is not a real file. We have to read it the\u001b[39;00m\n\u001b[0;32m    760\u001b[0m         \u001b[39m# memory-intensive way.\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    768\u001b[0m         \u001b[39m# not correctly instantiate zero-width string dtypes; see\u001b[39;00m\n\u001b[0;32m    769\u001b[0m         \u001b[39m# https://github.com/numpy/numpy/pull/6430\u001b[39;00m\n\u001b[0;32m    770\u001b[0m         array \u001b[39m=\u001b[39m numpy\u001b[39m.\u001b[39mndarray(count, dtype\u001b[39m=\u001b[39mdtype)\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "Precrop_dataset_for_train_path = \"./data/Airway/Precrop_dataset_for_EXACT09\"\n",
    "Precrop_dataset_for_train_raw_path = Precrop_dataset_for_train_path+\"/image\"\n",
    "Precrop_dataset_for_train_label_path = Precrop_dataset_for_train_path+\"/label\"\n",
    "\n",
    "raw_case_name_list = os.listdir(Precrop_dataset_for_train_raw_path)\n",
    "label_case_name_list = os.listdir(Precrop_dataset_for_train_label_path)\n",
    "\n",
    "assert raw_case_name_list == label_case_name_list\n",
    "\n",
    "data_dict = dict()\n",
    "\n",
    "for idx, name in enumerate(raw_case_name_list):\n",
    "    print(\"process \"+str(name)+\" | \"+str(idx/len(raw_case_name_list)), end=\"\\r\")\n",
    "    data_dict[name.split(\".\")[0]]={}\n",
    "    data_dict[name.split(\".\")[0]][\"image\"]=Precrop_dataset_for_train_raw_path+\"/\"+name\n",
    "    data_dict[name.split(\".\")[0]][\"label\"]=Precrop_dataset_for_train_label_path+\"/\"+name\n",
    "    label_temp = np.load(Precrop_dataset_for_train_label_path+\"/\"+name)\n",
    "    data_dict[name.split(\".\")[0]][\"airway_pixel_num\"]=np.sum(label_temp)\n",
    "    \n",
    "    label_temp=np.array(label_temp, dtype=np.uint32, order='F')\n",
    "    label_temp_edt=edt.edt(\n",
    "        label_temp,\n",
    "        black_border=True, order='F',\n",
    "        parallel=1)\n",
    "    \n",
    "    data_dict[name.split(\".\")[0]][\"airway_pixel_num_boundary\"] = len(np.where(label_temp_edt==1)[0])\n",
    "    data_dict[name.split(\".\")[0]][\"airway_pixel_num_inner\"] = len(np.where(label_temp_edt>1)[0])\n",
    "\n",
    "save_obj(data_dict, \"dataset_info_EXACT09_crops_128\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9f95d9f",
   "metadata": {},
   "source": [
    "### Get the case names of LIDC-IDRI and EXACT09"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b00cbd7e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['CASE01.nii.gz', 'CASE02.nii.gz', 'CASE03.nii.gz', 'CASE04.nii.gz', 'CASE05.nii.gz', 'CASE06.nii.gz', 'CASE07.nii.gz', 'CASE08.nii.gz', 'CASE09.nii.gz', 'CASE10.nii.gz', 'CASE11.nii.gz', 'CASE12.nii.gz', 'CASE13.nii.gz', 'CASE14.nii.gz', 'CASE15.nii.gz', 'CASE16.nii.gz', 'CASE17.nii.gz', 'CASE18.nii.gz', 'CASE19.nii.gz', 'CASE20.nii.gz'] ['CASE01_label.nii.gz', 'CASE02_label.nii.gz', 'CASE03_label.nii.gz', 'CASE04_label.nii.gz', 'CASE05_label.nii.gz', 'CASE06_label.nii.gz', 'CASE07_label.nii.gz', 'CASE08_label.nii.gz', 'CASE09_label.nii.gz', 'CASE10_label.nii.gz', 'CASE11_label.nii.gz', 'CASE12_label.nii.gz', 'CASE13_label.nii.gz', 'CASE14_label.nii.gz', 'CASE15_label.nii.gz', 'CASE16_label.nii.gz', 'CASE17_label.nii.gz', 'CASE18_label.nii.gz', 'CASE19_label.nii.gz', 'CASE20_label.nii.gz']\n"
     ]
    }
   ],
   "source": [
    "USE_LIDC = False\n",
    "USE_EXACT09 = True\n",
    "\n",
    "EXACT_img_niigz_path = \"./data/Airway/EXACT09_3D/train\"\n",
    "EXACT_label_niigz_path = \"./data/Airway/EXACT09_3D/train_label\"\n",
    "LIDC_IDRI_img_niigz_path = \"./data/Airway/LIDC-IDRI_3D/annotated_data/image\"\n",
    "LIDC_IDRI_label_niigz_path = \"./data/Airway/LIDC-IDRI_3D/annotated_data/label\"\n",
    "\n",
    "EXACT09_names = []\n",
    "LIDC_IDRI_names = []\n",
    "\n",
    "if USE_EXACT09:\n",
    "    EXACT_names = os.listdir(EXACT_img_niigz_path)\n",
    "    EXACT_names.sort()\n",
    "    EXACT_label_names = os.listdir(EXACT_label_niigz_path)\n",
    "    EXACT_label_names.sort()\n",
    "    print(EXACT_names, EXACT_label_names)\n",
    "\n",
    "if USE_LIDC:\n",
    "    LIDC_names = os.listdir(LIDC_IDRI_img_niigz_path)\n",
    "    LIDC_names.sort()\n",
    "    LIDC_IDRI_label_names = os.listdir(LIDC_IDRI_label_niigz_path)\n",
    "    LIDC_IDRI_label_names.sort()\n",
    "    print(LIDC_names, LIDC_IDRI_label_names)\n",
    "\n",
    "if USE_EXACT09:\n",
    "    for EXACT09_name in EXACT_names:\n",
    "        EXACT09_names.append(\"EXACT09_\"+EXACT09_name.split(\".\")[0])\n",
    "    EXACT09_names = np.array(EXACT09_names)\n",
    "    EXACT09_names = np.unique(EXACT09_names)\n",
    "\n",
    "if USE_LIDC:\n",
    "    for LIDC_IDRI_name in LIDC_names:\n",
    "        LIDC_IDRI_names.append(\"LIDC_IDRI_\"+LIDC_IDRI_name.split(\".\")[0])\n",
    "    LIDC_IDRI_names = np.array(LIDC_IDRI_names)\n",
    "    LIDC_IDRI_names = np.unique(LIDC_IDRI_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d76b369c",
   "metadata": {},
   "source": [
    "### Split train/test set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "20ca2b6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test name: ['EXACT09_CASE13', 'EXACT09_CASE08', 'EXACT09_CASE01', 'EXACT09_CASE05']\n",
      "train names: ['EXACT09_CASE02' 'EXACT09_CASE03' 'EXACT09_CASE04' 'EXACT09_CASE06'\n",
      " 'EXACT09_CASE07' 'EXACT09_CASE09' 'EXACT09_CASE10' 'EXACT09_CASE11'\n",
      " 'EXACT09_CASE12' 'EXACT09_CASE14' 'EXACT09_CASE15' 'EXACT09_CASE16'\n",
      " 'EXACT09_CASE17' 'EXACT09_CASE18' 'EXACT09_CASE19' 'EXACT09_CASE20']\n"
     ]
    }
   ],
   "source": [
    "names = np.concatenate((EXACT09_names, LIDC_IDRI_names))\n",
    "\n",
    "# you can split train/test by yourself\n",
    "# just show an example\n",
    "\n",
    "test_names_LIDC = ['LIDC_IDRI_0698', 'LIDC_IDRI_0710', 'LIDC_IDRI_0810',\n",
    "        'LIDC_IDRI_0376', 'LIDC_IDRI_1004',\n",
    "        'LIDC_IDRI_0744']\n",
    "\n",
    "test_names_EXACT09 = [\n",
    "        'EXACT09_CASE13',\n",
    "        'EXACT09_CASE08', 'EXACT09_CASE01', 'EXACT09_CASE05',]\n",
    "\n",
    "test_names = []\n",
    "\n",
    "if USE_EXACT09:\n",
    "    test_names.extend(test_names_EXACT09)\n",
    "if USE_LIDC:\n",
    "    test_names.extend(test_names_LIDC)\n",
    "\n",
    "\n",
    "print(\"test name: \"+str(test_names))\n",
    "train_names = []\n",
    "for name in names:\n",
    "    if name not in test_names:\n",
    "        train_names.append(name)\n",
    "train_names=np.array(train_names)\n",
    "print(\"train names: \"+str(train_names))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fdbe6ceb",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_names = ['EXACT09_CASE01', 'EXACT09_CASE15',]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e22d4806",
   "metadata": {},
   "source": [
    "### Get dataset dict for training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a1c57272",
   "metadata": {},
   "outputs": [],
   "source": [
    "if USE_EXACT09:\n",
    "    data_dict_EXACT09_128=load_obj(\"dataset_info/dataset_info_EXACT09_crops_128\")\n",
    "if USE_LIDC:\n",
    "    data_dict_LIDC_IDRI_128=load_obj(\"dataset_info/dataset_info_LIDC_IDRI_crops_128\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7b340fda",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_test_set_dict_EXACT09_LIDC_IDRI_128={}\n",
    "train_test_set_dict_EXACT09_LIDC_IDRI_128[\"train\"]={}\n",
    "train_test_set_dict_EXACT09_LIDC_IDRI_128[\"test\"]={}\n",
    "\n",
    "if USE_EXACT09:\n",
    "    for case in data_dict_EXACT09_128.keys():\n",
    "        if (case.split(\"_\")[0]+\"_\"+case.split(\"_\")[1]) in train_names:\n",
    "            train_test_set_dict_EXACT09_LIDC_IDRI_128[\"train\"][case] = data_dict_EXACT09_128[case]\n",
    "        elif (case.split(\"_\")[0]+\"_\"+case.split(\"_\")[1]) in test_names:\n",
    "            train_test_set_dict_EXACT09_LIDC_IDRI_128[\"test\"][case] = data_dict_EXACT09_128[case]\n",
    "\n",
    "if USE_LIDC:\n",
    "    for case in data_dict_LIDC_IDRI_128.keys():\n",
    "        if (case.split(\"_\")[0]+\"_\"+case.split(\"_\")[1]+\"_\"+case.split(\"_\")[2]) in train_names:\n",
    "            train_test_set_dict_EXACT09_LIDC_IDRI_128[\"train\"][case] = data_dict_LIDC_IDRI_128[case]\n",
    "        elif (case.split(\"_\")[0]+\"_\"+case.split(\"_\")[1]+\"_\"+case.split(\"_\")[2]) in test_names:\n",
    "            train_test_set_dict_EXACT09_LIDC_IDRI_128[\"test\"][case] = data_dict_LIDC_IDRI_128[case]\n",
    "\n",
    "train_test_set_dict_EXACT09_LIDC_IDRI_128[\"train_names\"]=train_names\n",
    "train_test_set_dict_EXACT09_LIDC_IDRI_128[\"test_names\"]=test_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "eb425a54",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'train': {'EXACT09_CASE01_454': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_454.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_454.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_18': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_18.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_18.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_219': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_219.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_219.npy', 'airway_pixel_num': 116.0, 'airway_pixel_num_boundary': 113, 'airway_pixel_num_inner': 3}, 'EXACT09_CASE15_245': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_245.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_245.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_223': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_223.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_223.npy', 'airway_pixel_num': 33.0, 'airway_pixel_num_boundary': 32, 'airway_pixel_num_inner': 1}, 'EXACT09_CASE01_471': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_471.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_471.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_524': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_524.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_524.npy', 'airway_pixel_num': 562.0, 'airway_pixel_num_boundary': 394, 'airway_pixel_num_inner': 168}, 'EXACT09_CASE01_344': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_344.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_344.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_424': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_424.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_424.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_553': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_553.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_553.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_576': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_576.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_576.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_349': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_349.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_349.npy', 'airway_pixel_num': 272.0, 'airway_pixel_num_boundary': 254, 'airway_pixel_num_inner': 18}, 'EXACT09_CASE15_302': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_302.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_302.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_26': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_26.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_26.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_494': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_494.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_494.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_615': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_615.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_615.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_238': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_238.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_238.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_595': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_595.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_595.npy', 'airway_pixel_num': 62301.0, 'airway_pixel_num_boundary': 9961, 'airway_pixel_num_inner': 52340}, 'EXACT09_CASE01_484': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_484.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_484.npy', 'airway_pixel_num': 12388.0, 'airway_pixel_num_boundary': 3346, 'airway_pixel_num_inner': 9042}, 'EXACT09_CASE01_298': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_298.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_298.npy', 'airway_pixel_num': 3656.0, 'airway_pixel_num_boundary': 2714, 'airway_pixel_num_inner': 942}, 'EXACT09_CASE15_250': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_250.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_250.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_485': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_485.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_485.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_251': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_251.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_251.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_406': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_406.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_406.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_479': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_479.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_479.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_261': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_261.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_261.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_90': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_90.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_90.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_489': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_489.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_489.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_338': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_338.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_338.npy', 'airway_pixel_num': 7149.0, 'airway_pixel_num_boundary': 2941, 'airway_pixel_num_inner': 4208}, 'EXACT09_CASE15_192': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_192.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_192.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_195': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_195.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_195.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_134': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_134.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_134.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_56': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_56.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_56.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_401': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_401.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_401.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_22': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_22.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_22.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_254': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_254.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_254.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_160': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_160.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_160.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_628': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_628.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_628.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_440': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_440.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_440.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_49': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_49.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_49.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_571': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_571.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_571.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_228': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_228.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_228.npy', 'airway_pixel_num': 15289.0, 'airway_pixel_num_boundary': 6072, 'airway_pixel_num_inner': 9217}, 'EXACT09_CASE15_315': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_315.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_315.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_187': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_187.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_187.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_194': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_194.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_194.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_362': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_362.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_362.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_363': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_363.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_363.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_22': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_22.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_22.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_411': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_411.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_411.npy', 'airway_pixel_num': 81733.0, 'airway_pixel_num_boundary': 14442, 'airway_pixel_num_inner': 67291}, 'EXACT09_CASE15_439': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_439.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_439.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_150': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_150.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_150.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_249': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_249.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_249.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE15_327': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE15_327.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE15_327.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_309': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE01_309.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE01_309.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE01_561': {'image': 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'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_151.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_214': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_214.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_214.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_168': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_168.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_168.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_366': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_366.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_366.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_367': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_367.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_367.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_125': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_125.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_125.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE13_104': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_104.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_104.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_175': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_175.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_175.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_236': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_236.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_236.npy', 'airway_pixel_num': 22.0, 'airway_pixel_num_boundary': 22, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_318': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_318.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_318.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_351': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_351.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_351.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_99': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_99.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_99.npy', 'airway_pixel_num': 2167.0, 'airway_pixel_num_boundary': 1476, 'airway_pixel_num_inner': 691}, 'EXACT09_CASE08_200': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_200.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_200.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_83': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_83.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_83.npy', 'airway_pixel_num': 435.0, 'airway_pixel_num_boundary': 343, 'airway_pixel_num_inner': 92}, 'EXACT09_CASE05_206': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_206.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_206.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_98': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_98.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_98.npy', 'airway_pixel_num': 2116.0, 'airway_pixel_num_boundary': 1273, 'airway_pixel_num_inner': 843}, 'EXACT09_CASE08_190': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_190.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_190.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_2': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_2.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_2.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_159': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_159.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_159.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_335': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_335.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_335.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_346': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_346.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_346.npy', 'airway_pixel_num': 38394.0, 'airway_pixel_num_boundary': 9136, 'airway_pixel_num_inner': 29258}, 'EXACT09_CASE13_186': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_186.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_186.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_245': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_245.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_245.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_138': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_138.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_138.npy', 'airway_pixel_num': 24.0, 'airway_pixel_num_boundary': 22, 'airway_pixel_num_inner': 2}, 'EXACT09_CASE08_155': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_155.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_155.npy', 'airway_pixel_num': 18526.0, 'airway_pixel_num_boundary': 7390, 'airway_pixel_num_inner': 11136}, 'EXACT09_CASE13_102': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_102.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_102.npy', 'airway_pixel_num': 132.0, 'airway_pixel_num_boundary': 132, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_213': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_213.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_213.npy', 'airway_pixel_num': 2033.0, 'airway_pixel_num_boundary': 1569, 'airway_pixel_num_inner': 464}, 'EXACT09_CASE13_271': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_271.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_271.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_359': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_359.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_359.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_59': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_59.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_59.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_236': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_236.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_236.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_30': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_30.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_30.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_117': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_117.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_117.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_365': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_365.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_365.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE13_251': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_251.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_251.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_353': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_353.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_353.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_224': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_224.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_224.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_54': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_54.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_54.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_342': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_342.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_342.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_224': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_224.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_224.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_145': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_145.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_145.npy', 'airway_pixel_num': 849.0, 'airway_pixel_num_boundary': 714, 'airway_pixel_num_inner': 135}, 'EXACT09_CASE08_172': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_172.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_172.npy', 'airway_pixel_num': 101.0, 'airway_pixel_num_boundary': 96, 'airway_pixel_num_inner': 5}, 'EXACT09_CASE13_62': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_62.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_62.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE13_21': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_21.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_21.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_289': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_289.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_289.npy', 'airway_pixel_num': 279.0, 'airway_pixel_num_boundary': 259, 'airway_pixel_num_inner': 20}, 'EXACT09_CASE08_223': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_223.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_223.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE13_206': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_206.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_206.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_171': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_171.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_171.npy', 'airway_pixel_num': 3.0, 'airway_pixel_num_boundary': 3, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_142': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_142.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_142.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE08_229': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_229.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_229.npy', 'airway_pixel_num': 7069.0, 'airway_pixel_num_boundary': 3434, 'airway_pixel_num_inner': 3635}, 'EXACT09_CASE13_140': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_140.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_140.npy', 'airway_pixel_num': 1661.0, 'airway_pixel_num_boundary': 917, 'airway_pixel_num_inner': 744}, 'EXACT09_CASE08_316': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_316.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_316.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE13_220': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_220.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_220.npy', 'airway_pixel_num': 29049.0, 'airway_pixel_num_boundary': 11585, 'airway_pixel_num_inner': 17464}, 'EXACT09_CASE08_333': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_333.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_333.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE05_68': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE05_68.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE05_68.npy', 'airway_pixel_num': 0.0, 'airway_pixel_num_boundary': 0, 'airway_pixel_num_inner': 0}, 'EXACT09_CASE13_88': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE13_88.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE13_88.npy', 'airway_pixel_num': 181.0, 'airway_pixel_num_boundary': 179, 'airway_pixel_num_inner': 2}, 'EXACT09_CASE08_292': {'image': '/data/Airway/Precrop_dataset_for_train_EXACT09/image/EXACT09_CASE08_292.npy', 'label': '/data/Airway/Precrop_dataset_for_train_EXACT09/label/EXACT09_CASE08_292.npy', 'airway_pixel_num': 14959.0, 'airway_pixel_num_boundary': 4256, 'airway_pixel_num_inner': 10703}}, 'train_names': ['EXACT09_CASE01', 'EXACT09_CASE15'], 'test_names': ['EXACT09_CASE13', 'EXACT09_CASE08', 'EXACT09_CASE01', 'EXACT09_CASE05']}\n"
     ]
    }
   ],
   "source": [
    "print(train_test_set_dict_EXACT09_LIDC_IDRI_128)\n",
    "for k in train_test_set_dict_EXACT09_LIDC_IDRI_128[\"train\"].keys():\n",
    "    if k[len('EXACT09_CASE'):len('EXACT09_CASE') + 2] > '20':\n",
    "        print(k)\n",
    "# it has all info of images crops for training"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d904a6aa",
   "metadata": {},
   "source": [
    "### Get dataset_info for iterative training strategy. First, train with higher frequency on airways of high generations. Next, train with higher frequency on airways of low generations. And repeat the process."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a51ee2d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dict_org=train_test_set_dict_EXACT09_LIDC_IDRI_128['train']\n",
    "\n",
    "for k, v in data_dict_org.items():\n",
    "    if v['image'][0] == '/':\n",
    "        v['image'] = '.' + v['image']\n",
    "    if v['label'][0] == '/':\n",
    "        v['label'] = '.' + v['label']\n",
    "\n",
    "import copy\n",
    "data_dict_extended = copy.deepcopy(data_dict_org)\n",
    "\n",
    "for is_more_big in (True, False): # higher freq on airways of low gen (thicker airways)\n",
    "    copy_times_I = 10 if is_more_big else 1\n",
    "\n",
    "    for idx, case in enumerate(data_dict_org.keys()):\n",
    "        if data_dict_org[case][\"airway_pixel_num\"]>0:\n",
    "            if is_more_big:\n",
    "                copy_times_II = np.ceil(data_dict_org[case][\"airway_pixel_num_inner\"]/data_dict_org[case][\"airway_pixel_num_boundary\"])\n",
    "            else:\n",
    "                if data_dict_org[case][\"airway_pixel_num_inner\"]==0:\n",
    "                    copy_times_II = np.ceil(data_dict_org[case][\"airway_pixel_num_boundary\"])\n",
    "                else:\n",
    "                    copy_times_II = np.ceil(data_dict_org[case][\"airway_pixel_num_boundary\"]/data_dict_org[case][\"airway_pixel_num_inner\"])\n",
    "\n",
    "            for i in range(int(copy_times_I*copy_times_II)):\n",
    "                data_dict_extended[case+\"_copy_\"+str(i+1)]=data_dict_org[case]\n",
    "    if is_more_big:\n",
    "        save_obj(data_dict_extended, \"dataset_info/train_dataset_info_EXACT09_LIDC_IDRI_crops_128_extended_\"+\"more_low_gen_\"+str(copy_times_I)+\"_new\")\n",
    "    else:\n",
    "        save_obj(data_dict_extended, \"dataset_info/train_dataset_info_EXACT09_LIDC_IDRI_crops_128_extended_\"+\"more_high_gen_\"+str(copy_times_I)+\"_new\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a1e42ca",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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