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Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks.
Chen, Xiao; Deng, Qingshan; Wang, Qiang; Liu, Xinmiao; Chen, Lei; Liu, Jinjin; Li, Shuangquan; Wang, Meihao; Cao, Guoquan.
Afiliação
  • Chen X; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Deng Q; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wang Q; Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Liu X; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China.
  • Chen L; Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Liu J; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Li S; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wang M; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Cao G; Department of Radiology, Key Laboratory of Intelligent Medical Imaging of Wenzhou, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Front Public Health ; 10: 891766, 2022.
Article em En | MEDLINE | ID: mdl-35558524
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article