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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](../../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.