clementapa/Prostate-Cancer-Image-Classification

Deep Learning for medical imaging kaggle challenge for the MVA master 2021-2022. Classification of ISUP grades from Whole Slide Images.

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Experimental

This project offers a deep learning model to help pathologists and medical researchers classify the severity of prostate cancer from whole slide images of tissue samples. By inputting digitized biopsy images, the system provides an ISUP grade (1-5), which is crucial for determining patient treatment plans. It aims to reduce variability in diagnoses and improve accuracy for individual patients.

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Use this if you are a pathologist or medical researcher looking for an automated tool to assist in the consistent and accurate grading of prostate cancer from biopsy images.

Not ideal if you need a fully validated, production-ready diagnostic tool for direct clinical use without further development and regulatory approval.

prostate-cancer medical-imaging pathology cancer-diagnosis histopathology
No License Stale 6m No Package No Dependents
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Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Last pushed

May 09, 2022

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