Supervised vs. adversarially pre-trained pseudo-label generators for semi-supervised breast cancer patch classification
Automated breast cancer classification from whole-slide images (WSIs) is hampered by the scarcity of expert-annotated patches and the domain variability inherent to multi-institutional datasets. We propose and compare two semi-supervised frameworks for patch-level tumor classification under limited annotation. The firs...