PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs 事件

PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs arXiv:2603.09943v2 Announce Type: replace Abstract: Computational pathology demands both visual pattern recognition and dynamic integration of structured domain knowledge, including taxonomy, grading criteria, and clinical evidence. In practice, diagnostic reasoning requires linking morphological evidence with formal diagnostic and grading criteria. Although multimodal large language models (MLLMs) demonstrate strong vi