CISC 471/882 final project on developing a binary cancer classification computer neural network (CNN) model to classify mediastinal lymph nodes using CT images.
This project uses the images and segmentation data found in the following TCIA repository:
https://www.cancerimagingarchive.net/collection/mediastinal-lymph-node-seg/
This project uses Python and Anaconda.
You can install python at https://www.python.org/downloads/
You can install Anaconda at https://anaconda.org/
- Open Anaconda Prompt
- Create an environment using
conda create --name <env-name> python==3.12.3 - Activate the environment using
conda activate <env-name> - Install required packages in the environment
To install all the required packages, run the following in your command line:
pip install -r requirements.txt
Individually, all the imports required are:
- pydicom -->
pip install pydicom - os --> standard library
- cv2 -->
pip install opencv-python - numpy -->
pip install numpy - sklearn -->
pip install scikit-learn - json --> standard library
- tensorflow -->
pip install tensorflow - keras -->
pip install keras
To run the program, you will need to copy the template_paths.json file on your computer and follow the instructions in the file.
Copyright (C) 2024 Catarina Borges McDiarmid, Mide Olanrewaju & Shrinidhi Thatahngudi Sampath Krishnan
See the LICENSE file for license rights and limitations (GNU General Public License v3.0)