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Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

Acute Myeloid & Lymphoblastic Leukemia Python Classifiers

Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

Keras Classifiers

AllCNN Classifiers (Paper 1)

The Peter Moss Acute Myeloid & Lymphoblastic Leukemia Keras AllCNN Paper 1 Classifiers are a collection of projects that use computer vision written in Python using Keras to classify Acute Myeloid & Lymphoblastic Leukemia in unseen images. The projects use the ACUTE LEUKEMIA CLASSIFICATION USING CONVOLUTION NEURAL NETWORK IN CLINICAL DECISION SUPPORT SYSTEM paper and the ALL_IDB1 & ALL_IDB2 datasets.

 

Datasets

The Keras AllCNN Paper 1 Classifiers use a number of different datasets. The datasets used in these projects are linked below:

ID Dataset Maintainer(s)
1 ALL_IDB1 Fabio Scotti (proposer and maintainer),Ruggero Donida Labati & Vincenzo Piuri;
2 ALL_IDB2 Fabio Scotti (proposer and maintainer),Ruggero Donida Labati & Vincenzo Piuri;

 

Projects

Project Dataset Description Author(s)
ALL_IDB1 AllCNN A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 1. Adam Milton-Barker
ALL_IDB2 AllCNN A model trained to detect ALL using Keras with Tensorflow Backend, Paper 1 and the original Dataset 2. 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.

Team Contributors

The following Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research project team members have contributed towards this repository:

Student Program Contributors

The following AML/ALL AI Student Program Students & Research Interns have contributed towards this repository:

  • Taru Jain - Pre-final year undergraduate pursuing B.Tech in IT

 

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.