Your browser doesn't support javascript.
loading
Feasibility of using deep learning to detect coronary artery disease based on facial photo.
Lin, Shen; Li, Zhigang; Fu, Bowen; Chen, Sipeng; Li, Xi; Wang, Yang; Wang, Xiaoyi; Lv, Bin; Xu, Bo; Song, Xiantao; Zhang, Yao-Jun; Cheng, Xiang; Huang, Weijian; Pu, Jun; Zhang, Qi; Xia, Yunlong; Du, Bai; Ji, Xiangyang; Zheng, Zhe.
Afiliação
  • Lin S; National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, Pe
  • Li Z; Department of Automation, Tsinghua University, Main building, Haidian District, Beijing 100084, People's Republic of China.
  • Fu B; Department of Automation, Tsinghua University, Main building, Haidian District, Beijing 100084, People's Republic of China.
  • Chen S; Department of Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, People's Republic of China.
  • Li X; National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, Pe
  • Wang Y; Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, People's Republic of China.
  • Wang X; National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, Pe
  • Lv B; National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, Pe
  • Xu B; Department of Radiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, People's Republic of China.
  • Song X; National Clinical Research Center of Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, Pe
  • Zhang YJ; Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, People's Republic of China.
  • Cheng X; Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Road, Chaoyang District, Beijing 100029, People's Republic of China.
  • Huang W; Department of Cardiology, Xuzhou Third People's Hospital, Xuzhou Medical University, No. 131 Huancheng Road, Huaihai Economy District, Xuzhou 221000, People's Republic of China.
  • Pu J; Department of Cardiology, Wuhan Union Hospital, No. 1277 Jiefang Avenue, Jianghan District, Wuhan 430022, Hubei, People's Republic of China.
  • Zhang Q; Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Nanbaixiang Road, Ouhai District, Wenzhou 325000, People's Republic of China.
  • Xia Y; Department of Cardiology, RenJi Hospital, Shanghai JiaoTong University Medical College, No. 160 Pujian Road, Pudong New District, Shanghai 200120, People's Republic of China.
  • Du B; Department of Cardiology, Shanghai East Hospital, Tongji University School of Medicine, No. 150 Jimo Road, Pudong New District, Shanghai 200120, People's Republic of China.
  • Ji X; Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Xigang District, Dalian 116011, People's Republic of China.
  • Zheng Z; Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No.5 Beixiange Road, Xicheng District, Beijing 100053, People's Republic of China.
Eur Heart J ; 41(46): 4400-4411, 2020 12 07.
Article em En | MEDLINE | ID: mdl-32818267
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estenose Coronária / Aprendizado Profundo Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Heart J Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Peru
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença da Artéria Coronariana / Estenose Coronária / Aprendizado Profundo Tipo de estudo: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Heart J Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Peru