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Deep learning from HE slides to predict the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer

2020-12-10

Abstract excerpt

<h4>Background: </h4> The predictive value of adjuvant chemotherapy for early-stage hormone receptor-positive breast cancer has been only validated by a 21-gene expression assay. We hypothesized that deep-learning prediction from HE images, called Lunit-SCOPE, is a potential prognostic and predictive biomarker of adjuvant chemotherapy. <h4>Methods: </h4>: We retrospectively collected HE slides from 1153 de-identif...

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Literature Corpus work
eed15ddf-5280-5178-af14-976ddfd31515
DOI
10.21203/rs.3.rs-118010/v1
Open publication

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Deep learning from HE slides to predict the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancerDOI 10.21203/rs.3.rs-118010/v1
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