AngeloUNIMI/CNN-ALL
Source code for the 2021 ICASSP paper "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning"
This project helps medical professionals, like hematologists or lab technicians, accurately identify Acute Lymphoblastic Leukemia (ALL) from microscopic blood smear images. It takes digital images of blood samples and processes them to enhance detection, outputting a classification result. This tool is designed for those who need to quickly and reliably screen for ALL.
No commits in the last 6 months.
Use this if you need an automated method to help detect Acute Lymphoblastic Leukemia from microscopic blood cell images.
Not ideal if you are looking for a general image classification tool or a solution for a different type of medical diagnosis.
Stars
9
Forks
2
Language
MATLAB
License
GPL-3.0
Category
Last pushed
Sep 06, 2021
Commits (30d)
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