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(TS)2WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients.
Zhong, Liming; Li, Tengfei; Shu, Hai; Huang, Chao; Michael Johnson, Jason; Schomer, Donald F; Liu, Ho-Ling; Feng, Qianjin; Yang, Wei; Zhu, Hongtu.
Afiliação
  • Zhong L; Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Li T; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States; Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.
  • Shu H; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States; Department of Biostatistics, School of Global Public Health, New York University, New York, United States.
  • Huang C; Department of Statistics, Florida State University, Tallahassee, FL, United States.
  • Michael Johnson J; Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States.
  • Schomer DF; Department of Diagnostic Radiology, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States.
  • Liu HL; Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States.
  • Feng Q; Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Yang W; Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
  • Zhu H; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States; Department of Radiology and Biomedical Research Imaging Center, Univers
Neuroimage ; 223: 117368, 2020 12.
Article em En | MEDLINE | ID: mdl-32931941

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Neoplasias Encefálicas / Glioblastoma / Imagem de Difusão por Ressonância Magnética / Substância Branca Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Encéfalo / Neoplasias Encefálicas / Glioblastoma / Imagem de Difusão por Ressonância Magnética / Substância Branca Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China