Skip to content

Latest commit

 

History

History
71 lines (54 loc) · 2.97 KB

README.md

File metadata and controls

71 lines (54 loc) · 2.97 KB
Raw

Brain tumor detection using a CNN

License: MIT Release Open in Colab

The objective is to build an AI capable of discerning if a brain x-rays plate has tumor or not.

View Demo · Report Bug

About The Project

Co-author: @giuseppebrb

The project aim is to use TensorFlow to train a convolutional Neural Network using a dataset of ~4900 labelled images of brain scans.
Subsequently, we will evaluate the accuracy of our model against a test dataset

Tumor detection example

This is part 1 of the final project for the executive path in "Data Science and Business Analytics" held by POLIMI Graduate School of Management of Milan ( You can find part 2 here )

Built With

Getting Started

Installation

You can run the project in Google Collab

Or run it locally following this steps:

  1. Install Python
  2. Clone the repo 
    git clone https://github.com/TomMenga/brain-tumor-AI-CNN.git
  3. Install Jupyter notebook
  4. Install the dependencies 
    pip install -r requirements.txt
  5. Run Jupyter 
    jupyter notebook

(back to top)

Contact

Tommaso Menga - [email protected] - GitHub - Linkedin

(back to top)