tianyu0207/CCD
Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]
This project helps medical professionals automatically find anomalies and their locations within medical images, like scans or X-rays, without needing to manually label what's normal or abnormal. You provide a collection of medical images, and it highlights potential problem areas. Radiologists, clinicians, and medical researchers can use this to quickly identify deviations from healthy anatomy.
Use this if you need to detect unusual patterns or anomalies in large sets of medical images without prior examples of what those anomalies look like.
Not ideal if you're looking for a user-friendly, out-of-the-box software application without any coding or model configuration.
Stars
49
Forks
7
Language
Python
License
—
Category
Last pushed
Oct 29, 2025
Commits (30d)
0
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