A comprehensive study on overcoming mixed data biases, cross-center domain shifts, and annotation costs in pathological image analysis through robust learning theories.
Overcoming the "Three Passes" of WSI analysis—gigapixel scale, multimodal missingness, and the fine-tuning compute wall—through low-rank breakthroughs and information bottleneck theory.
