Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Apr 10, 2015

Abstract

PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis.

Authors

  • Andrés Larroza
    Department of Medicine, Universitat de València, Valencia, Spain.
  • David Moratal
    Centre for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain.
  • Alexandra Paredes-Sánchez
    Centre for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain.
  • Emilio Soria-Olivas
    Intelligent Data Analysis Laboratory, Electronic Engineering Department, Universitat de València, Valencia, Spain.
  • María L Chust
    Department of Radiation Oncology, Fundación Instituto Valenciano de Oncología, Valencia, Spain.
  • Leoncio A Arribas
    Department of Radiation Oncology, Fundación Instituto Valenciano de Oncología, Valencia, Spain.
  • Estanislao Arana
    Department of Radiology, Fundación Instituto Valenciano de Oncología, Valencia, Spain.

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