Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy
IntroductionDeep learning (DL) models predicting biomarker expression in images of hematoxylin and eosin (H&E)-stained tissues can improve access to multi-marker immunophenotyping, crucial for therapeutic monitoring, biomarker discovery, and personaliz…