A Self supervised learning framework for imbalanced medical imaging datasets

A Self supervised learning framework for imbalanced medical imaging datasets explores A self-supervised learning framework that improves medical image classification accuracy on imbalanced and scarce datasets.. Commercial viability score: 5/10 in Medical AI.