A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images.
Journal:
Biomedical engineering online
Published Date:
Jun 25, 2025
Abstract
OBJECTIVE: To investigate the potential of a hybrid multi-instance learning model (TGMIL) combining Transformer and graph attention networks for classifying gastric adenocarcinoma differentiation on whole-slide images (WSIs) without manual annotation.