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Deep learning in negative small-bowel capsule endoscopy improves small-bowel lesion detection and diagnostic yield.
Choi, Kyung Seok; Park, DoGyeom; Kim, Jin Su; Cheung, Dae Young; Lee, Bo-In; Cho, Young-Seok; Kim, Jin Il; Lee, Seungchul; Lee, Han Hee.
Afiliación
  • Choi KS; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Park D; Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Korea.
  • Kim JS; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Cheung DY; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Lee BI; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Cho YS; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Kim JI; Division of Gastroenterology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
  • Lee S; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul, Korea.
  • Lee HH; Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Korea.
Dig Endosc ; 36(4): 437-445, 2024 Apr.
Article en En | MEDLINE | ID: mdl-37612137

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Endoscopía Capsular / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Endoscopía Capsular / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article