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Diagnostic performance of endoscopic ultrasound-artificial intelligence using deep learning analysis of gallbladder polypoid lesions.
Jang, Sung Ill; Kim, Young Jae; Kim, Eui Joo; Kang, Huapyong; Shon, Seung Jin; Seol, Yu Jin; Lee, Dong Ki; Kim, Kwang Gi; Cho, Jae Hee.
Afiliação
  • Jang SI; Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Kim YJ; Department of Biomedical Engineering, Gachon University College of Health Science, Incheon, South Korea.
  • Kim EJ; Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea.
  • Kang H; Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea.
  • Shon SJ; Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Seol YJ; Department of Biomedical Engineering, Gachon University College of Health Science, Incheon, South Korea.
  • Lee DK; Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Kim KG; Department of Biomedical Engineering, Gachon University College of Health Science, Incheon, South Korea.
  • Cho JH; Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
J Gastroenterol Hepatol ; 36(12): 3548-3555, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34431545

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pólipos / Inteligência Artificial / Neoplasias da Vesícula Biliar Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pólipos / Inteligência Artificial / Neoplasias da Vesícula Biliar Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article