Self-Supervised-Medical-Image-Representation-via-MoCo
PublicThis repository explores the application of Self-Supervised Learning techniques such as MoCo, SimCLR, BYOL, and SwAV, for medical image representation using the CheXpert dataset. The project aims to classify multiple thoracic diseases while minimizing reliance on labeled data and addressing challenges like class imbalance and label uncertainty.
chexpert-datasetcomputer-visioncontrastive-learninggrad-cammedical-image-processingmulti-modalityself-supervised-learning
Creat：2025-03-18T14:13:05
Update：2025-03-18T14:34:15
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