A Self supervised learning framework for imbalanced medical imaging datasets
arXiv:2604.01947v1 Announce Type: new
Abstract: Two problems often plague medical imaging analysis: 1) Non-availability of large quantities of labeled training data, and 2) Dealing with imbalanced data, i.e., abundant data are available for frequent c…