Acute Lymphoblastic Leukemia Detection System 2019

Acute Lymphoblastic Leukemia Detection System 2019

Acute Lymphoblastic Leukemia Detection System 2019 on Linkedin
The Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection System is an opensource classifier with a locally hosted, database driven UI for data management, training, and running inference on Convolutional Neural Networks on the edge. This project was our official demo for 2019 and leverages Intel® technologies such as the UP2/UP2 AI Vision Dev Kit and Movidius NCS.

 

 

Introduction

The Peter Moss Acute Myeloid & Lymphoblastic Leukemia Detection System is an open-source classifier with a locally hosted, database driven UI for data management, training, and running inference on Convolutional Neural Networks on the edge. This project was our official demo for 2019 and leverages Intel® technologies such as the UP2/UP2 AI Vision Dev Kit and Movidius NCS.

In 2019 the Acute Lymphoblastic Leukemia Detection System 2019 was awarded the Intel® Devmesh AI Spotlight Award. Our project was one of 4 projects, and 1st from Europe, awarded the then new designation granted by Intel recognizing inspiring and breakthrough Artificial Intelligence projects in development from the Intel software community.



 

Project Contributors

Salvatore Raieli

Salvatore Raieli

Bioinformatics & Immunology

Estela Cabezas

Alumni: Estela Cabezas

Biotechnology/Deep Learning

Dr. Amita Kapoor

Alumni: Dr. Amita Kapoor

Deep Learning

Ho Leung Ng

Alumni: Ho Leung Ng

Drug Discovery R&D Lead

Adam Milton-Barker

Adam Milton-Barker

President/Founder




Project Videos