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Using a Deep Learning Model to Address Interobserver Variability in the Evaluation of Ulcerative Colitis (UC) Severity.
Kim, Jeong-Heon; Choe, A Reum; Park, Yehyun; Song, Eun-Mi; Byun, Ju-Ran; Cho, Min-Sun; Yoo, Youngeun; Lee, Rena; Kim, Jin-Sung; Ahn, So-Hyun; Jung, Sung-Ae.
Afiliação
  • Kim JH; Department of Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Choe AR; Medical Physics and Biomedical Engineering Lab (MPBEL), Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Park Y; Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
  • Song EM; Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Byun JR; Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Cho MS; Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Yoo Y; Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Lee R; Department of Pathology, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Kim JS; Department of Pathology, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Ahn SH; Department of Bioengineering, Ewha Womans University College of Medicine, Seoul 03760, Republic of Korea.
  • Jung SA; Department of Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
J Pers Med ; 13(11)2023 Nov 08.
Article em En | MEDLINE | ID: mdl-38003899
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Pers Med Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Pers Med Ano de publicação: 2023 Tipo de documento: Article