https://www.selleckchem.com/btk.html
Deep learning models achieve strong performance for radiology image classification, but their practical application is bottle-necked by the need for large labeled training datasets. Semi-supervised learning (SSL) approaches leverage small labeled datasets alongside larger unlabeled datasets and offer potential for reducing labeling cost. In this work, we introduce NoTeacher, a novel consistency-based SSL framework which incorporates probabilistic graphical models. Unlike Mean Teacher which maintains a teacher network updated via a temporal ensemble,
Like
Comment
Share
