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Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation.
Yu, Xin; Tang, Yucheng; Yang, Qi; Lee, Ho Hin; Gao, Riqiang; Bao, Shunxing; Moore, Ann Zenobia; Ferrucci, Luigi; Landman, Bennett A.
Afiliación
  • Yu X; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Tang Y; Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
  • Yang Q; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Lee HH; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Gao R; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Bao S; Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Moore AZ; National Institute on Aging, Baltimore, MD.
  • Ferrucci L; National Institute on Aging, Baltimore, MD.
  • Landman BA; Computer Science, Vanderbilt University, Nashville, TN, USA.
Proc SPIE Int Soc Opt Eng ; 124642023 Feb.
Article en En | MEDLINE | ID: mdl-37465093
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Clinical_trials / Observational_studies / Risk_factors_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Clinical_trials / Observational_studies / Risk_factors_studies Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos