mayureshagashe2105/GSoC-22-TensorFlow-Resources-and-Notebooks
GSoC'22 @ TensorFlow Notebooks, Code and much more
This project offers tools to help medical researchers and students understand and apply deep learning for healthcare. It takes digital pathology images, specifically prostate gland scans, and uses a classification approach to create 'pseudo-segmentation' maps that highlight potential cancer areas. This allows for an initial, automated visual assessment of the tissue.
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Use this if you are a medical researcher or student who wants to explore and apply deep learning techniques for initial cancer detection from digital pathology images, especially in underfunded medical sectors.
Not ideal if you need definitive, precise segmentation for clinical diagnosis, as this tool provides 'pseudo-segmentation' for exploratory purposes rather than a final diagnostic output.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 20, 2022
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