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Artificial intelligence-enhanced white-light colonoscopy with attention guidance predicts colorectal cancer invasion depth.
Luo, Xiaobei; Wang, Jiahao; Han, Zelong; Yu, Yang; Chen, Zhenyu; Huang, Feiyang; Xu, Yumeng; Cai, Jianqun; Zhang, Qiang; Qiao, Weiguang; Ng, Inn Chuan; Tan, Robby T; Liu, Side; Yu, Hanry.
Afiliación
  • Luo X; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Wang J; Mechanobiology Institute, National University of Singapore, Singapore; Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A∗STAR), Singapore.
  • Han Z; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yu Y; Mechanobiology Institute, National University of Singapore, Singapore; Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A∗STAR), Singapore; CAMP, Singapore-MIT Alliance for Research and Technology, Singapore.
  • Chen Z; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Huang F; Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A∗STAR), Singapore.
  • Xu Y; Mechanobiology Institute, National University of Singapore, Singapore.
  • Cai J; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Zhang Q; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Qiao W; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Ng IC; Department of Physiology, The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, Singapore.
  • Tan RT; Yale-NUS College, Singapore; Department of Electrical and Computer Engineering, National University of Singapore, Singapore.
  • Liu S; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Yu H; Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou, China; Mechanobiology Institute, National University of Singapore, Singapore; Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research (A∗STAR), Singapore; CAMP, Singapo
Gastrointest Endosc ; 94(3): 627-638.e1, 2021 09.
Article en En | MEDLINE | ID: mdl-33852902

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Resección Endoscópica de la Mucosa Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Gastrointest Endosc Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Resección Endoscópica de la Mucosa Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Gastrointest Endosc Año: 2021 Tipo del documento: Article País de afiliación: China