Your browser doesn't support javascript.
loading
Improving Splenomegaly Segmentation by Learning from Heterogeneous Multi-Source Labels.
Tang, Yucheng; Huo, Yuankai; Xiong, Yunxi; Moon, Hyeonsoo; Assad, Albert; Moyo, Tamara K; Savona, Michael R; Abramson, Richard; Landman, Bennett A.
Afiliación
  • Tang Y; Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235.
  • Huo Y; Computer Science, Vanderbilt University, Nashville, TN, USA 37235.
  • Xiong Y; Computer Science, Vanderbilt University, Nashville, TN, USA 37235.
  • Moon H; Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235.
  • Assad A; InCyte Corporation, Wilmington, DE, USA 18903.
  • Moyo TK; Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA 37235.
  • Savona MR; Hematology and Oncology, Vanderbilt University Medical Center, Nashville, TN, USA 37235.
  • Abramson R; Radiology, Vanderbilt University Medical Center, Nashville, TN, USA 37235.
  • Landman BA; Electrical Engineering, Vanderbilt University, Nashville, TN, USA 37235.
Article en En | MEDLINE | ID: mdl-31762532

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Año: 2019 Tipo del documento: Article