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Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE-/- mice.
Li, Bing; Jiao, Yun; Fu, Cong; Xie, Bo; Ma, Genshan; Teng, Gaojun; Yao, Yuyu.
Afiliación
  • Li B; Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
  • Jiao Y; Jiangsu Key Lab of Molecular and Function Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China.
  • Fu C; Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
  • Xie B; Jiangsu Key Lab of Molecular and Function Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China.
  • Ma G; Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China.
  • Teng G; Jiangsu Key Lab of Molecular and Function Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China.
  • Yao Y; Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, 87 Dingjiaqiao, Nanjing, 210009, Jiangsu, China. yaoyuyunj@hotmail.com.
Biomed Eng Online ; 15(Suppl 2): 146, 2016 Dec 28.
Article en En | MEDLINE | ID: mdl-28155719
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Arterias Carótidas / Placa Aterosclerótica / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Biomed Eng Online Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2016 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Arterias Carótidas / Placa Aterosclerótica / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: Biomed Eng Online Asunto de la revista: ENGENHARIA BIOMEDICA Año: 2016 Tipo del documento: Article País de afiliación: China