LUNA16-Lung-Nodule-Analysis-2016-Challenge

Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".

3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)

A Clone version from Original SegCaps source code with enhancements on MS COCO dataset.

Lung nodule detection- LUNA 16

Lung Nodules Segmentation from CT scans using CNN.

Boost lung Cancer Detection using Generative model and Semi-Supervised Learning

This study presents the development and validation of AI models for both nodule detection and cancer classification tasks. This benchmarking across multiple datasets establishes the DLCSD as a reliable resource for lung cancer AI research.

Python script that extract images from LUNA16 dataset to a human readable format

Implementation of lung nodule detection and false positive reduction using CT images for LUNA16-LUng-Nodule-Analysis-2016-Challenge.

Full Processing on Luna16 Challange (All data resampled to 1mm x 0.7mm x 0.7mm)

Lung cancer detection using deep learning models