WSISum:デュアルレベル意味再構築によるWSI要約
Baizhi Wang1, Kun Zhang1, Yuhao Wang1
1School of Biomedical Engineering, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), Hefei Anhui, 230026, China; Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE), Suzhou Institute for Advanced Research, USTC, Suzhou Jiangsu, 215123, China.
Medical image analysis
|February 7, 2026
まとめ
WSISumは、キーパッチを抽出することにより、ギガピクセル全スライド画像(WSI)を効率的に要約します。これにより、癌サブタイピングやバイオマーカー予測などのタスクの計算コストが削減されます。
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