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A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images.
Hsiao, Chiu-Han; Lin, Ping-Cherng; Chung, Li-An; Lin, Frank Yeong-Sung; Yang, Feng-Jung; Yang, Shao-Yu; Wu, Chih-Horng; Huang, Yennun; Sun, Tzu-Lung.
Afiliação
  • Hsiao CH; Research Center for Information Technology Innovation, Academia Sinica, Taipei City, (R.O.C.) Taiwan.
  • Lin PC; Research Center for Information Technology Innovation, Academia Sinica, Taipei City, (R.O.C.) Taiwan.
  • Chung LA; Research Center for Information Technology Innovation, Academia Sinica, Taipei City, (R.O.C.) Taiwan.
  • Lin FY; Department of Information Management, National Taiwan University, Taipei City, (R.O.C.) Taiwan.
  • Yang FJ; Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Douliu City, Yunlin County; School of Medicine, College of Medicine, National Taiwan University, Taipei, (R.O.C.) Taiwan. Electronic address: fongrong@ntu.edu.tw.
  • Yang SY; Department of Internal Medicine, National Taiwan University Hospital, Taipei City, (R.O.C.) Taiwan.
  • Wu CH; Department of Radiology, National Taiwan University Hospital, Taipei City, (R.O.C.) Taiwan.
  • Huang Y; Research Center for Information Technology Innovation, Academia Sinica, Taipei City, (R.O.C.) Taiwan.
  • Sun TL; Research Center for Information Technology Innovation, Academia Sinica, Taipei City, (R.O.C.) Taiwan.
Comput Methods Programs Biomed ; 221: 106854, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35567864
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article