Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation 事件

Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation arXiv:2605.30716v1 Announce Type: new Abstract: Generating clinically useful pathology reports for pathology cases from whole-slide images (WSIs) is challenging due to gigapixel resolution, long visual-token sequences, and the complexity of case-level reasoning, where a single case may contain multiple WSIs with heterogeneous tissues and ambiguous findings. We present a simple token-efficient vision