Your browser doesn't support javascript.
loading
Development of a fully automatic deep learning system for L3 selection and body composition assessment on computed tomography.
Ha, Jiyeon; Park, Taeyong; Kim, Hong-Kyu; Shin, Youngbin; Ko, Yousun; Kim, Dong Wook; Sung, Yu Sub; Lee, Jiwoo; Ham, Su Jung; Khang, Seungwoo; Jeong, Heeryeol; Koo, Kyoyeong; Lee, Jeongjin; Kim, Kyung Won.
Afiliação
  • Ha J; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro, 43-gil, Songpa-gu, Seoul, 05505, Korea.
  • Park T; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, Korea.
  • Kim HK; Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Shin Y; Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
  • Ko Y; Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
  • Kim DW; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro, 43-gil, Songpa-gu, Seoul, 05505, Korea.
  • Sung YS; Clinical Research Center, Asan Medical Center, Seoul, Korea.
  • Lee J; Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul, Korea.
  • Ham SJ; Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.
  • Khang S; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro, 43-gil, Songpa-gu, Seoul, 05505, Korea.
  • Jeong H; School of Computer Science and Engineering, Soongsil University, Seoul, Korea.
  • Koo K; School of Computer Science and Engineering, Soongsil University, Seoul, Korea.
  • Lee J; School of Computer Science and Engineering, Soongsil University, Seoul, Korea.
  • Kim KW; School of Computer Science and Engineering, Soongsil University, Seoul, Korea.
Sci Rep ; 11(1): 21656, 2021 11 04.
Article em En | MEDLINE | ID: mdl-34737340
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia Computadorizada Multidetectores / Vértebras Lombares Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 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: Processamento de Imagem Assistida por Computador / Tomografia Computadorizada Multidetectores / Vértebras Lombares Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article