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Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E–stained images for ovarian cancer prognosis

2024-04-19

Abstract excerpt

<title>Abstract</title> <p>Background: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a deep learning convolutional neural networks trained with whole-slide images (WSIs) of hematoxylin-and-eosin (H&E)–stained tumor samples usi...

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Literature Corpus work
c7ff0ca1-6f64-55d2-abd2-0904e18d765e
DOI
10.21203/rs.3.rs-4189334/v1
Open publication

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Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&amp;E–stained images for ovarian cancer prognosisDOI 10.21203/rs.3.rs-4189334/v1
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