Article
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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Identifiers and source
- Literature Corpus work
- 20437fba-3175-5d61-9614-3c4df2b1307f
- DOI
- 10.1101/2023.11.27.23298994
