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Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor-stroma ratio.
Hong, Yiyu; Heo, You Jeong; Kim, Binnari; Lee, Donghwan; Ahn, Soomin; Ha, Sang Yun; Sohn, Insuk; Kim, Kyoung-Mee.
Afiliação
  • Hong Y; Department of R&D Center, Arontier Co., Ltd, Seoul, Republic of Korea.
  • Heo YJ; The Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Kim B; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, #81, Irwon-ro, Gangnam-Gu, Seoul, 06351, Korea.
  • Lee D; Center of Companion Diagnostics, Samsung Medical Center, Seoul, Republic of Korea.
  • Ahn S; Department of Pathology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
  • Ha SY; Department of R&D Center, Arontier Co., Ltd, Seoul, Republic of Korea.
  • Sohn I; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, #81, Irwon-ro, Gangnam-Gu, Seoul, 06351, Korea.
  • Kim KM; Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, #81, Irwon-ro, Gangnam-Gu, Seoul, 06351, Korea.
Sci Rep ; 11(1): 19255, 2021 09 28.
Article em En | MEDLINE | ID: mdl-34584193
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estômago / Neoplasias Gástricas / Processamento de Imagem Assistida por Computador / Carcinoma / Aprendizado Profundo Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estômago / Neoplasias Gástricas / Processamento de Imagem Assistida por Computador / Carcinoma / Aprendizado Profundo Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article