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Use of U-Net Convolutional Neural Networks for Automated Segmentation of Fecal Material for Objective Evaluation of Bowel Preparation Quality in Colonoscopy.
Wang, Yen-Po; Jheng, Ying-Chun; Sung, Kuang-Yi; Lin, Hung-En; Hsin, I-Fang; Chen, Ping-Hsien; Chu, Yuan-Chia; Lu, David; Wang, Yuan-Jen; Hou, Ming-Chih; Lee, Fa-Yauh; Lu, Ching-Liang.
Afiliación
  • Wang YP; Endoscopy Center for Diagnosis and Treatment, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Jheng YC; Division of Gastroenterology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Sung KY; Institute of Brain Science, National Yang Ming Chiao Tung University School of Medicine, Taipei 112, Taiwan.
  • Lin HE; Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei 112, Taiwan.
  • Hsin IF; Endoscopy Center for Diagnosis and Treatment, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Chen PH; Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei 112, Taiwan.
  • Chu YC; Department of Medical Research, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Lu D; Endoscopy Center for Diagnosis and Treatment, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Wang YJ; Division of Gastroenterology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Hou MC; Faculty of Medicine, National Yang Ming Chiao Tung University School of Medicine, Taipei 112, Taiwan.
  • Lee FY; Endoscopy Center for Diagnosis and Treatment, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
  • Lu CL; Division of Gastroenterology, Department of Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan.
Diagnostics (Basel) ; 12(3)2022 Mar 01.
Article en En | MEDLINE | ID: mdl-35328166
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Taiwán