Your browser doesn't support javascript.
loading
Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.
Yin, Shi; Peng, Qinmu; Li, Hongming; Zhang, Zhengqiang; You, Xinge; Fischer, Katherine; Furth, Susan L; Fan, Yong; Tasian, Gregory E.
Afiliação
  • Yin S; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Peng Q; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China.
  • Li H; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Zhang Z; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China.
  • You X; School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China.
  • Fischer K; Department of Surgery, Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, PA; Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA.
  • Furth SL; Department of Pediatrics, Division of Pediatric Nephrology, The Children's Hospital of Philadelphia, Philadelphia, PA.
  • Fan Y; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA. Electronic address: yong.fan@uphs.upenn.edu.
  • Tasian GE; Department of Surgery, Division of Pediatric Urology, The Children's Hospital of Philadelphia, Philadelphia, PA; Center for Pediatric Clinical Effectiveness, The Children's Hospital of Philadelphia, Philadelphia, PA; Department of Biostatistics, Epidemiology, and Informatics, The University of Penns
Urology ; 142: 183-189, 2020 08.
Article em En | MEDLINE | ID: mdl-32445770
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anormalidades Urogenitais / Refluxo Vesicoureteral / Interpretação de Imagem Assistida por Computador / Aprendizado Profundo / Hidronefrose Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans / Infant / Male / Newborn Idioma: En Revista: Urology Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Panamá
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anormalidades Urogenitais / Refluxo Vesicoureteral / Interpretação de Imagem Assistida por Computador / Aprendizado Profundo / Hidronefrose Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans / Infant / Male / Newborn Idioma: En Revista: Urology Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Panamá