GorkemP/labeled-images-for-ulcerative-colitis
Codes to process and train LIMUC dataset
This project helps medical researchers and clinicians train machine learning models to assess the severity of Ulcerative Colitis (UC) from endoscopic images. You provide a dataset of labeled colonoscopy images, and the scripts output a trained model capable of classifying or regressing the Mayo Endoscopic Score (MES) for new images. It's designed for medical researchers or data scientists working on automated diagnostic tools for gastroenterology.
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Use this if you are a medical researcher or data scientist looking to train a deep learning model to automatically assess Ulcerative Colitis severity from endoscopic images.
Not ideal if you need a pre-trained, ready-to-deploy clinical tool, as this project provides scripts for training, not a finished application.
Stars
35
Forks
4
Language
Python
License
MIT
Category
Last pushed
Jan 01, 2024
Commits (30d)
0
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