# 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](../../Media/Images/Peter-Moss-Acute-Myeloid-Lymphoblastic-Leukemia-Research-Project.png)

 

# Table Of Contents

- [Introduction](#introduction)

- [DISCLAIMER](#disclaimer)

- [Projects](#projects)

- [Contributing](#contributing)

    - [Contributors](#contributors)

    - [Student Contributors](#student-contributors)

- [Versioning](#versioning)

- [License](#license)

- [Bugs/Issues](#bugs-issues)

 

# 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](QuantisedCode/QuantisedCode.ipynb "QuantisedCode")    | A model trained to detect ALL using Keras with Tensorflow Backend, [Paper 1](https://airccj.org/CSCP/vol7/csit77505.pdf "Paper 1") and the original [Dataset 2](https://homes.di.unimi.it/scotti/all/#datasets "Dataset 2"). | Complete | [Dr Amita Kapoor](https://www.leukemiaresearchassociation.ai/team/amita-kapoor "Dr Amita Kapoor") & [Taru Jain](https://www.leukemiaresearchassociation.ai/student-program/student/taru-jain "Taru Jain") |

| ALL_IDB1 | [AllCNN](AllCNN/Paper_1/ALL_IDB1/Non_Augmented/AllCNN.ipynb "AllCNN") | A model trained to detect ALL using Keras with Tensorflow Backend, [Paper 1](https://airccj.org/CSCP/vol7/csit77505.pdf "Paper 1") and the original [Dataset 1](https://homes.di.unimi.it/scotti/all/#datasets "Dataset 1"). | Complete | [Adam Milton-Barker](https://www.leukemiaresearchassociation.ai/team/adam-milton-barker "Adam Milton-Barker")                                                                                     |  |

| ALL_IDB2 | [AllCNN](AllCNN/Paper_1/ALL_IDB2/Non_Augmented/AllCNN.ipynb "AllCNN") | A model trained to detect ALL using Keras with Tensorflow Backend, [Paper 1](https://airccj.org/CSCP/vol7/csit77505.pdf "Paper 1") and the original [Dataset 2](https://homes.di.unimi.it/scotti/all/#datasets "Dataset 2"). | Complete | [Adam Milton-Barker](https://www.leukemiaresearchassociation.ai/team/adam-milton-barker "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](../../CONTRIBUTING.md "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

- [Adam Milton-Barker](https://www.leukemiaresearchassociation.ai/team/adam-milton-barker "Adam Milton-Barker") - [Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss](https://www.leukemiaresearchassociation.ai "Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss") President & Lead Developer, Sabadell, Spain

- [Dr Amita Kapoor](https://www.leukemiaresearchassociation.ai/team/amita-kapoor "Dr Amita Kapoor") - [Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss](https://www.leukemiaresearchassociation.ai "Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss") Student Program Team / R&D, Delhi, India

## Students Contributors

- [Taru Jain](https://www.leukemiaresearchassociation.ai/student-program/student/taru-jain "Taru Jain") - [Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss](https://www.leukemiaresearchassociation.ai "Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss") Student Program, Delhi, India

 

# Versioning

We use SemVer for versioning. For the versions available.

 

# License

This project is licensed under the **MIT License** - see the [LICENSE](../../LICENSE "LICENSE") file for details.

 

# Bugs/Issues

We use the [repo issues](../../issues "repo issues") to track bugs and general requests related to using this project.