ALL FastAI 2019

Acute Lymphoblastic Leukemia FastAI 2019

Acute Lymphoblastic Leukemia (ALL) FastAI 2019 is series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI created by Association Member & Volunteer - Salvatore Raieli.

 

 

Introduction

Acute Lymphoblastic Leukemia (ALL) FastAI 2019 is series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI created by Association Member & Volunteer - Salvatore Raieli.

The motive of this project was to utilize FastAI to prototype deep learning neural networks capable of detecting ALL using ALL-IDB1 from the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset by Fabio Scotti.

This project is released under the MIT License.

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.

Salvatore Raieli is a bioinformatician researcher and PhD in Immunology, but does not work in medical diagnosis. Please use these systems responsibly.

Please use this system responsibly.

JOIN US

Our progress relies on volunteers to help us build and validate our technology. If you would like to join our team as a professional volunteer, please use the form on our Professional Volunteer Application page.



 

Project Contributors

Salvatore Raieli

Salvatore Raieli

Bioinformatics & Immunology




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