adammiltonbarker / invasive-ductal-carcinoma

A collection of open source computer vision projects dedicated to detecting Invasive Ductal Carcinoma, a form of breast cancer. This repository includes a number of sub projects using different languages, frameworks and models including Tensorflow, Keras & Caffe.

Breast Cancer AI Research Project

The Breast Cancer AI Research Project is an artificial intelligence research project into detection and early detection of various types of breast cancer, as well as drug discovery for identifying potential drug candidates for breast cancer.

Invasive Ductal Carcinoma Classifiers

The Breast Cancer AI Research Project Invasive Ductal Carcinoma Classifiers repository includes classifiers made with Tensorflow, Caffe, Keras, Intel Movidius (NCS & NCS2) and OpenVino. We aim to create projects in Python, Java, C++, R etc and compare results to find out which types of classifiers are more accurate.

 

Python Classifiers

This repository hosts a collection of classifiers that have been developed by the team using the Python programming language. These classifiers include Caffe, FastAI, Movidius, OpenVino, pure Python and Tensorflow classifiers each project may have multiple classifiers.

Projects	Description	Status
Caffe Classifiers	IDC classifiers created using the Caffe framework.	Ongoing
FastAI Classifiers	IDC classifiers created using the FastAI framework.	Ongoing
Keras Classifiers	IDC classifiers created using the Keras framework.	Ongoing
Tensorflow Classifiers	IDC classifiers created using the Tensorflow framework.	Ongoing

 

Versioning

We use SemVer for versioning. For the versions available, see Releases.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Bugs/Issues

We use the repo issues to track bugs and general requests related to using this project.