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Lesion-aware convolutional neural network for chest radiograph classification.
Li, F; Shi, J-X; Yan, L; Wang, Y-G; Zhang, X-D; Jiang, M-S; Wu, Z-Z; Zhou, K-Q.
Afiliación
  • Li F; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Shi JX; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Yan L; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Wang YG; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Zhang XD; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Jiang MS; School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China. Electronic address: jiangmsc@gmail.com.
  • Wu ZZ; Department of Precision Mechanical Engineering, Shanghai University, Shanghai, China.
  • Zhou KQ; Liver Cancer Institute, Zhongshan Hospital, Shanghai, China.
Clin Radiol ; 76(2): 155.e1-155.e14, 2021 Feb.
Article en En | MEDLINE | ID: mdl-33077154
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Torácicas / Radiografía Torácica / Interpretación de Imagen Radiográfica Asistida por Computador / Redes Neurales de la Computación Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedades Torácicas / Radiografía Torácica / Interpretación de Imagen Radiográfica Asistida por Computador / Redes Neurales de la Computación Tipo de estudio: Observational_studies / Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Clin Radiol Año: 2021 Tipo del documento: Article País de afiliación: China