Your browser doesn't support javascript.
loading
Deep learning-based anatomical site classification for upper gastrointestinal endoscopy.
He, Qi; Bano, Sophia; Ahmad, Omer F; Yang, Bo; Chen, Xin; Valdastri, Pietro; Lovat, Laurence B; Stoyanov, Danail; Zuo, Siyang.
Afiliação
  • He Q; Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China.
  • Bano S; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Ahmad OF; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Yang B; General Hospital, Tianjin Medical University, Tianjin, China.
  • Chen X; General Hospital, Tianjin Medical University, Tianjin, China.
  • Valdastri P; School of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.
  • Lovat LB; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Stoyanov D; Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
  • Zuo S; Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China. siyang_zuo@tju.edu.cn.
Int J Comput Assist Radiol Surg ; 15(7): 1085-1094, 2020 Jul.
Article em En | MEDLINE | ID: mdl-32377939
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endoscopia Gastrointestinal / Aprendizado Profundo Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Assunto da revista: RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Endoscopia Gastrointestinal / Aprendizado Profundo Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Int J Comput Assist Radiol Surg Assunto da revista: RADIOLOGIA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China