微软发布高效病理基础模型GigaPath-Flash和GigaTIME-Flash
原标题：GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
AI 摘要
微软研究院发布GigaPath-Flash和GigaTIME-Flash，通过知识蒸馏将十亿参数模型压缩为紧凑的ViT-S编码器，分别实现约50倍计算量降低和6倍速度提升，同时保持或提升病理分析性能。这两个模型以Apache 2.0协议开源，旨在支持大规模人群级病理研究，但仅限研究用途，未经临床验证。
正文节选
At a glance - The Flash family extends GigaPath and GigaTIME with dramatically improved efficiency, making large-scale pathology research more accessible and practical. - A distilled pathology foundation model backbone reduces computational requirements without sacrificing performance, enabling repeated analyses across larger patient cohorts. - These open models support population-scale discovery, helping researchers investigate disease biology, biomarkers, and clinical outcomes across diverse c