Acute Lymphoblastic Leukemia (ALL) Classifiers 2019

Acute Lymphoblastic Leukemia (ALL) Classifiers 2019

Acute Lymphoblastic Leukemia (ALL) Classifiers 2019 on Linkedin
The Peter Moss Acute Lymphoblastic Leukemia classifiers 2019 are a collection of open-source computer vision projects focusing on the early detection of Acute Lymphoblastic Leukemia (ALL) in unseen images.

 

 

Introduction

The Peter Moss Acute Lymphoblastic Leukemia classifiers 2019 are a collection of open-source computer vision projects focusing on the early detection of Acute Lymphoblastic Leukemia (ALL) in unseen images.

The motivation behind this project was to produce a number of open-source classifiers developed with different programming languages and frameworks. The repository includes classifiers developed with Tensorflow, Caffe, Keras, FastAI & Intel Movidius (NCS). The projects include classifiers developed by multiple volunteers from the Peter Moss Acute Myeloid & Lymphoblastic AI Research Project.

As part of the Student Program, Taru Jane participated in this project, working alongside Amita Kapoor to develop an Acute Lymphoblastic Leukemia classifier programmed using Keras.

This project is released under the MIT License.

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

Dr. Amita Kapoor

Alumni: Dr. Amita Kapoor

Deep Learning

Adam Milton-Barker

Adam Milton-Barker

President/Founder




Project Videos

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