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Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach.
Jang, Hyun-Jong; Lee, Ahwon; Kang, Jun; Song, In Hye; Lee, Sung Hak.
Affiliation
  • Jang HJ; Catholic Big Data Integration Center, Department of Physiology, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
  • Lee A; Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
  • Kang J; Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
  • Song IH; Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea.
  • Lee SH; Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, South Korea. hakjjang@catholic.ac.kr.
World J Gastroenterol ; 27(44): 7687-7704, 2021 Nov 28.
Article in En | MEDLINE | ID: mdl-34908807
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: World J Gastroenterol Year: 2021 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach Neoplasms / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: World J Gastroenterol Year: 2021 Document type: Article