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Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

Acute Lymphoblastic Leukemia Classifiers 2019

Keras Classifiers

Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

 

Table Of Contents

 

Introduction

The Keras classifiers are a collection of projects that use computer vision written in Python using Keras to classify Acute Lymphoblastic Leukemia in unseen images.

 

DISCLAIMER

These projects should be used for research purposes only. The purpose of the projects is to show the potential of Artificial Intelligence for medical support systems such as diagnosis systems.

Although the classifiers are accurate and show good results both on paper and in real world testing, they are not meant to be an alternative to professional medical diagnosis.

Developers that have contributed to this repository have experience in using Artificial Intelligence for detecting certain types of cancer. They are not a doctors, medical or cancer experts.

Dr Amita Kapoor is Associate Professor at SRCASW, University of Delhi, and teaches Neural Networks, Artificial Intelligence, Operating system, Embedded system, Computer Communication and Networking.

Please use these systems responsibly.

 

Projects

Dataset Project Description Status Author
ALL_IDB2 QuantisedCode A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 2. Complete Dr Amita Kapoor & Taru Jain
ALL_IDB1 AllCNN A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 1. Complete Adam Milton-Barker
ALL_IDB2 AllCNN A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 2. Complete Adam Milton-Barker

 

Contributing

The Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project encourages and welcomes code contributions, bug fixes and enhancements from the Github.

Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.

Contributors

Students Contributors

 

Versioning

We use SemVer for versioning. For the versions available.

 

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.