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Deep Learning-based Quantification of Abdominal Subcutaneous and Visceral Fat Volume on CT Images.
Grainger, Andrew T; Krishnaraj, Arun; Quinones, Michael H; Tustison, Nicholas J; Epstein, Samantha; Fuller, Daniela; Jha, Aakash; Allman, Kevin L; Shi, Weibin.
Afiliação
  • Grainger AT; Departments of Biochemistry & Molecular Genetics, Richmond, Virginia.
  • Krishnaraj A; Radiology & Medical Imaging, School of Medicine, Virginia.
  • Quinones MH; Radiology & Medical Imaging, School of Medicine, Virginia.
  • Tustison NJ; Radiology & Medical Imaging, School of Medicine, Virginia.
  • Epstein S; Radiology & Medical Imaging, School of Medicine, Virginia.
  • Fuller D; School of Engineering and Applied Science, University of Virginia, 480 Ray C. Hunt Drive, Charlottesville, VA 22908.
  • Jha A; School of Engineering and Applied Science, University of Virginia, 480 Ray C. Hunt Drive, Charlottesville, VA 22908.
  • Allman KL; School of Engineering and Applied Science, University of Virginia, 480 Ray C. Hunt Drive, Charlottesville, VA 22908.
  • Shi W; Departments of Biochemistry & Molecular Genetics, Richmond, Virginia; Radiology & Medical Imaging, School of Medicine, Virginia. Electronic address: ws4v@virginia.edu.
Acad Radiol ; 28(11): 1481-1487, 2021 11.
Article em En | MEDLINE | ID: mdl-32771313
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gordura Intra-Abdominal / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gordura Intra-Abdominal / Aprendizado Profundo Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article