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Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer.
Kim, Young-Gon; Song, In Hye; Cho, Seung Yeon; Kim, Sungchul; Kim, Milim; Ahn, Soomin; Lee, Hyunna; Yang, Dong Hyun; Kim, Namkug; Kim, Sungwan; Kim, Taewoo; Kim, Daeyoung; Choi, Jonghyeon; Lee, Ki-Sun; Ma, Minuk; Jo, Minki; Park, So Yeon; Gong, Gyungyub.
Affiliation
  • Kim YG; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.
  • Song IH; Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Cho SY; Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, Korea.
  • Kim S; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim M; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
  • Ahn S; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
  • Lee H; Health Innovation Big Data Center, Asan Institute of Life Science, Asan Medical Center, Seoul, Korea.
  • Yang DH; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim N; Department of Convergence Medicine, Asan Institute of Life Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim S; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea.
  • Kim T; Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
  • Kim D; Graduate School of AI, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Choi J; Graduate School of AI, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Lee KS; Knowledge of AI Lab, NCSOFT, Seongnam, Korea.
  • Ma M; Medical Science Research Center, Ansan Hospital, Korea University College of Medicine, Ansan, Korea.
  • Jo M; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Park SY; School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Gong G; Department of Pathology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
Cancer Res Treat ; 55(2): 513-522, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36097806
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Cancer Res Treat Year: 2023 Document type: Article
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Cancer Res Treat Year: 2023 Document type: Article