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Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis.
Huang, Zhongwei; Lei, Haijun; Chen, Guoliang; Li, Haimei; Li, Chuandong; Gao, Wenwen; Chen, Yue; Wang, Yaofa; Xu, Haibo; Ma, Guolin; Lei, Baiying.
Afiliação
  • Huang Z; Key Laboratory of Service Computing and Applications, Guangdong Province Key Laboratory of Popular High Performance Computers, Guangdong Province Engineering Center of China-made High Performance Data Computing System, Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics, College of C
  • Lei H; Key Laboratory of Service Computing and Applications, Guangdong Province Key Laboratory of Popular High Performance Computers, Guangdong Province Engineering Center of China-made High Performance Data Computing System, Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics, College of C
  • Chen G; Key Laboratory of Service Computing and Applications, Guangdong Province Key Laboratory of Popular High Performance Computers, Guangdong Province Engineering Center of China-made High Performance Data Computing System, Guangdong Laboratory of Artificial-Intelligence and Cyber-Economics, College of C
  • Li H; Department of Radiology, Fu Xing Hospital, Capital Medical University, Beijing, China.
  • Li C; Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
  • Gao W; Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
  • Chen Y; Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
  • Wang Y; Minfound Medical Systems Co., Ltd., Hangzhou, China.
  • Xu H; Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Ma G; Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
  • Lei B; National- Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
Appl Soft Comput ; 115: 108088, 2022 Jan.
Article em En | MEDLINE | ID: mdl-34840541
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article