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An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research.
Kim, Sungchul; Cho, Sungman; Cho, Kyungjin; Seo, Jiyeon; Nam, Yujin; Park, Jooyoung; Kim, Kyuri; Kim, Daeun; Hwang, Jeongeun; Yun, Jihye; Jang, Miso; Lee, Hyunna; Kim, Namkug.
Afiliação
  • 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.
  • Cho S; Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
  • Cho K; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Seo J; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Nam Y; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Park J; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim K; Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
  • Kim D; Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
  • Hwang J; Department of Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Yun J; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Jang M; Department of Biomedical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Lee H; Department of Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim N; Bigdata Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Korea.
Korean J Radiol ; 22(12): 2073-2081, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34719891
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Aprendizado Profundo Limite: Humans Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Radiologia / Aprendizado Profundo Limite: Humans Idioma: En Revista: Korean J Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2021 Tipo de documento: Article