Paper Talk

1082-Hist2Cell: Cellular Architectures from Histology Images


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Hist2Cell is an innovative deep learning framework designed to predict detailed cellular architectures and fine-grained cell types directly from standard H&E histology images. By utilizing a graph-transformer architecture, the model captures both local tissue features and long-range spatial correlations to map up to 80 distinct cell types without requiring expensive molecular data for every sample...去小宇宙查看完整单集简介
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Paper TalkBy 淼淼Elva