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Deep learning-based histopathological segmentation for whole slide images of colorectal cancer in a compressed domain.
Kim, Hyeongsub; Yoon, Hongjoon; Thakur, Nishant; Hwang, Gyoyeon; Lee, Eun Jung; Kim, Chulhong; Chong, Yosep.
Affiliation
  • Kim H; Departments of Electrical Engineering, Creative IT Engineering, Mechanical Engineering, School of Interdisciplinary Bioscience and Bioengineering, Medical Device Innovation Center, and Graduate School of Artificial Intelligence, Pohang University of Science and Technology (POSTECH), Pohang, 37674, S
  • Yoon H; Deepnoid Inc., Seoul, 08376, South Korea.
  • Thakur N; Deepnoid Inc., Seoul, 08376, South Korea.
  • Hwang G; Department of Hospital Pathology, The Catholic University of Korea, College of Medicine, Uijeongbu St. Mary's Hospital, Seoul, South Korea.
  • Lee EJ; Department of Hospital Pathology, The Catholic University of Korea, College of Medicine, Yeouido St. Mary's Hospital, Seoul, South Korea.
  • Kim C; Department of Hospital Pathology, The Catholic University of Korea, College of Medicine, Yeouido St. Mary's Hospital, Seoul, South Korea.
  • Chong Y; Department of Pathology, Shinwon Medical Foundation, Gwangmyeong-si, Gyeonggi-do, South Korea.
Sci Rep ; 11(1): 22520, 2021 11 18.
Article in En | MEDLINE | ID: mdl-34795365
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Colorectal Neoplasms / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Colorectal Neoplasms / Deep Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Type: Article