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Detection of Lumbar Spondylolisthesis from X-ray Images Using Deep Learning Network.
Trinh, Giam Minh; Shao, Hao-Chiang; Hsieh, Kevin Li-Chun; Lee, Ching-Yu; Liu, Hsiao-Wei; Lai, Chen-Wei; Chou, Sen-Yi; Tsai, Pei-I; Chen, Kuan-Jen; Chang, Fang-Chieh; Wu, Meng-Huang; Huang, Tsung-Jen.
Afiliação
  • Trinh GM; International Graduate Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
  • Shao HC; Department of Trauma-Orthopedics, College of Medicine, Pham Ngoc Thach Medical University, Ho Chi Minh City 700000, Vietnam.
  • Hsieh KL; Department of Pediatric Orthopedics, Hospital for Traumatology and Orthopedics, Ho Chi Minh City 700000, Vietnam.
  • Lee CY; Institute of Data Science and Information Computing, National Chung Hsing University, Taichung City 402, Taiwan.
  • Liu HW; Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
  • Lai CW; Department of Medical Imaging, Taipei Medical University Hospital, Taipei 11031, Taiwan.
  • Chou SY; Research Center of Translational Imaging, Taipei Medical University Hospital, Taipei 11031, Taiwan.
  • Tsai PI; Department of Orthopedics, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
  • Chen KJ; Department of Orthopedics, Taipei Medical University Hospital, Taipei 11031, Taiwan.
  • Chang FC; Center for Measurement Standards, Industrial Technology Research Institute, Hsinchu 30044, Taiwan.
  • Wu MH; Center for Measurement Standards, Industrial Technology Research Institute, Hsinchu 30044, Taiwan.
  • Huang TJ; Center for Measurement Standards, Industrial Technology Research Institute, Hsinchu 30044, Taiwan.
J Clin Med ; 11(18)2022 Sep 16.
Article em En | MEDLINE | ID: mdl-36143096
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Risk_factors_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 / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article