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Image- versus histogram-based considerations in semantic segmentation of pulmonary hyperpolarized gas images.
Tustison, Nicholas J; Altes, Talissa A; Qing, Kun; He, Mu; Miller, G Wilson; Avants, Brian B; Shim, Yun M; Gee, James C; Mugler, John P; Mata, Jaime F.
Afiliación
  • Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
  • Altes TA; Department of Radiology, University of Missouri, Columbia, Missouri, USA.
  • Qing K; Department of Radiation Oncology, City of Hope, Los Angeles, California, USA.
  • He M; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
  • Miller GW; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
  • Avants BB; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
  • Shim YM; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
  • Gee JC; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Mugler JP; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
  • Mata JF; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, Virginia, USA.
Magn Reson Med ; 86(5): 2822-2836, 2021 11.
Article en En | MEDLINE | ID: mdl-34227163
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Isótopos de Xenón Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Semántica / Isótopos de Xenón Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos