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Machine learning-based operation skills assessment with vascular difficulty index for vascular intervention surgery.
Guo, Shuxiang; Cui, Jinxin; Zhao, Yan; Wang, Yuxin; Ma, Youchun; Gao, Wenyang; Mao, Gengsheng; Hong, Shunming.
Afiliação
  • Guo S; Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China. guoshuxiang@bit.edu.cn.
  • Cui J; Faculty of Engineering, Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa, 760-8521, Japan. guoshuxiang@bit.edu.cn.
  • Zhao Y; Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
  • Wang Y; Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
  • Ma Y; Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
  • Gao W; Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
  • Mao G; Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
  • Hong S; The Third Medical Center of People's Liberation Army General Hospital, Beijing, 100583, China.
Med Biol Eng Comput ; 58(8): 1707-1721, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32468299
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Procedimentos Endovasculares Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Med Biol Eng Comput Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Procedimentos Endovasculares Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Med Biol Eng Comput Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos