Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification

Shota Harada, Ryoma Bise, Kengo Araki +7

Semi-supervised domain adaptation is a technique to build a classifier for a target domain by modifying a classifier in another (source) domain using many unlabeled samples and a s…