Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio

Abstract The tumor–stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients with 373 advanced (stage III [n = 171] an...

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Autores principales: Yiyu Hong, You Jeong Heo, Binnari Kim, Donghwan Lee, Soomin Ahn, Sang Yun Ha, Insuk Sohn, Kyoung-Mee Kim
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/665a23e325834b819fadac98a5eb0531
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