M. Bhuiyan

From unlabeled to labeled: self-supervised deep learning in computational pathology.

These findings highlight the capability of SSL-HistoNet as an annotation-free framework for outlining disease-specific tissue structures, reducing manual labeling demands and mitigating inter- and intra-observer variability in histological processes.