Hongzhi Chang

A semi-supervised deep learning framework (TBMNet) for automatic tumor budding quantification: real-world validation and clinical utility in stage II colorectal cancer

Abstract Background Tumor budding (TB) is a clinically important prognostic marker in colorectal cancer (CRC), but its assessment remains subjective and its biological basis is incompletely understood. We developed an artificial intelligence (AI)-based TB evaluation framework and...