Event Title

Diagnosing ALL with Computer Vision

Event Website

https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:84809fec-ca73-4240-bb71-0e55907a7ba0

Document Type

Event

Start Date

3-12-2020 5:00 PM

Description

I have been programming a neural network capable of detecting Acute Lymphoblastic Leukemia in a microscopic image of a patient's blood sample. My neural network can detect individual cells, segment images so that each image contains a single cell, and then detect whether each cell is infected. I have also built a microscope that connects to a Jetson Nano that can detect whether a blood sample contains Lymphoblasts almost immediately after the sample is taken.

C-Day-Demonstration-CS UR-44.mp4 (372 kB)
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Dec 3rd, 5:00 PM

Diagnosing ALL with Computer Vision

I have been programming a neural network capable of detecting Acute Lymphoblastic Leukemia in a microscopic image of a patient's blood sample. My neural network can detect individual cells, segment images so that each image contains a single cell, and then detect whether each cell is infected. I have also built a microscope that connects to a Jetson Nano that can detect whether a blood sample contains Lymphoblasts almost immediately after the sample is taken.

https://digitalcommons.kennesaw.edu/cday/Fall/undergraduateresearch/1