Semise: Semi-supervised learning for severity representation in medical image

Dung T. Tran, Hung Vu, Anh Tran +3

This paper introduces SEMISE, a novel method for representation learning in medical imaging that combines self-supervised and supervised learning. By leveraging both labeled and au…