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# Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project





  
  

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## Acute Lymphoblastic Leukemia Classifiers 2019





  
  

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### Keras Classifiers





  
  

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#### AllCNN Classifiers





  
  

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![Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project](../../../Media/Images/Peter-Moss-Acute-Myeloid-Lymphoblastic-Leukemia-Research-Project.png)





  
  

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# Table Of Contents





  
  

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- [Introduction](#introduction)





  
  

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- [DISCLAIMER](#disclaimer)





  
  

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- [Research Papers](#research-papers)





  
  

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- [Datasets](#datasets)





  
  

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- [Projects](#projects)





  
  

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- [Contributing](#contributing)





  
  

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    - [Contributors](#contributors)





  
  

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- [Versioning](#versioning)





  
  

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- [License](#license)





  
  

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





  
  

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# Introduction





  
  

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





  
  

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# DISCLAIMER





  
  

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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.





  
  

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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.





  
  

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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.





  
  

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Please use these systems responsibly.





  
  

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# Research Papers





  
  

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The Keras AllCNN Classifiers follow a number of different research papers. The research papers used in these projects are linked below:





  
  

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| ID  | Paper                                                                                                                                                                                                                                                 | Author(s)                                                                                 |





  
  

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| --- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |





  
  

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| 1   | [ACUTE LEUKEMIA CLASSIFICATION USING CONVOLUTION NEURAL NETWORK IN CLINICAL DECISION SUPPORT SYSTEM](https://airccj.org/CSCP/vol7/csit77505.pdf "ACUTE LEUKEMIA CLASSIFICATION USING CONVOLUTION NEURAL NETWORK IN CLINICAL DECISION SUPPORT SYSTEM") | Thanh.TTP, Giao N. Pham, Jin-Hyeok Park, Kwang-Seok Moon, Suk-Hwan Lee, and Ki-Ryong Kwon |





  
  

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| 2   | [Leukemia Blood Cell Image Classification Using Convolutional Neural Network](http://www.ijcte.org/vol10/1198-H0012.pdf "Leukemia Blood Cell Image Classification Using Convolutional Neural Network")                                                | T. T. P. Thanh, Caleb Vununu, Sukhrob Atoev, Suk-Hwan Lee, and Ki-Ryong Kwon              |





  
  

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# Datasets





  
  

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The Keras AllCNN Classifiers use a number of different datasets. The datasets used in these projects are linked below:





  
  

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| ID  | Dataset                                                               | Maintainer(s)                                                                  |





  
  

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| --- | --------------------------------------------------------------------- | ------------------------------------------------------------------------------ |





  
  

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| 1   | [ALL_IDB1](https://homes.di.unimi.it/scotti/all/#datasets "ALL_IDB1") | Fabio Scotti (proposer and maintainer),Ruggero Donida Labati & Vincenzo Piuri; |





  
  

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| 2   | [ALL_IDB2](https://homes.di.unimi.it/scotti/all/#datasets "ALL_IDB2") | Fabio Scotti (proposer and maintainer),Ruggero Donida Labati & Vincenzo Piuri; |





  
  

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# Projects





  
  

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| Project                                                                                                                                                   | Dataset  | Description                                                                                                                                                                                                                  | Author(s)                                                                                                          |





  
  

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| --------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ |





  
  

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| [AllCNN](Paper_1/ALL_IDB1/Non_Augmented/AllCNN.ipynb "AllCNN") | ALL_IDB1 | 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"). | [Adam Milton-Barker](https://www.leukemiaresearchassociation.ai/team/adam-milton-barker "Adam Milton-Barker") | 





  
  

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| [AllCNN](Paper_1/ALL_IDB2/Non_Augmented/AllCNN.ipynb "AllCNN") | ALL_IDB2 | 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"). | [Adam Milton-Barker](https://www.leukemiaresearchassociation.ai/team/adam-milton-barker "Adam Milton-Barker") | 





  
  

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# Contributing





  
  

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





  
  

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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.





  
  

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## Contributors





  
  

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- [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





  
  

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# Versioning





  
  

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We use SemVer for versioning. For the versions available.





  
  

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# License





  
  

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





  
  

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# Bugs/Issues





  
  

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