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HECTOR: multimodal deep learning predicts recurrence risk in endometrial cancer

2023-11-27

Abstract excerpt

Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatment. The current gold standard of combined pathological and molecular profiling is costly, hampering implementation. We developed HECTOR ( H istopathology-based E ndometrial C ancer T ailored O utcome R isk), a multimodal deep learning prognostic model using hematoxylin-and-eosin-stained whole-slide-images and tumor...

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Literature Corpus work
20437fba-3175-5d61-9614-3c4df2b1307f
DOI
10.1101/2023.11.27.23298994
Open publication

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HECTOR: multimodal deep learning predicts recurrence risk in endometrial cancerDOI 10.1101/2023.11.27.23298994
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