Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project

Acute Lymphoblastic Leukemia Classifiers 2019

FastAI Classifiers

Table Of Contents

• Introduction
• DISCLAIMER
• Projects
• Contributing
  • Contributors
• Versioning
• License
• Bugs/Issues

Introduction

The FastAI classifier projects are a collection of projects that use computer vision programs written using FastAI to classify Acute Lymphoblastic Leukemia in unseen images.

The idea of using FastAI for fast prototyping of models was introduced to the project by Salvatore Raieli who provided a Google Colab notebook that used FastAI with Resnet50 and ALL_IDB2 from the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset.

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.

Salvatore Raieli is a bioinformatician researcher and PhD in Immunology, but does not work in medical diagnosis.

Please use these systems responsibly.

Projects

| Project | Description | Status | Author |
| ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| FastAI Resnet50 Classifier | A FastAI model trained using Resnet50 | Ongoing | Salvatore Raieli |
| FastAI Resnet50(a) Classifier | A FastAI model trained using Resnet50 | Ongoing | Adam Milton-Barker |
| FastAI Resnet34 Classifier | A FastAI model trained using Resnet34 | Ongoing | Salvatore Raieli |
| FastAI Resnet18 Classifier | A FastAI model trained using Resnet18 | Ongoing | Salvatore Raieli |

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

• Salvatore Raieli - Asociacion De Investigation En Inteligencia Artificial Para La Leucemia Peter Moss Bioinformatics & Immunology AI R&D, Bologna, Italy

Versioning

We use SemVer for versioning.

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.