CT Image Texture analysis of Intracerebral Hemorrhage

نویسندگان

  • S. A. Kabara
  • M. Gabbouj
  • P. Dastidar
  • F. A. Cheikh
  • P. Ryymin
  • E. Laasonen
چکیده

: The development of new modalities, such as computed tomography (CT ) and magnetic resonance imaging (MRI), have substantially increased the number and complexity of images presented to radiologists and physicians. In this paper image analysis for the classification of healthy tissue and intracerebral hemorrhage (ICH) is reported. In the investigation computerized tomography (CT) images were taken from human brain, 151 healthy regions in brain and 80 disease regions for 12 patients. In the texture analysis, similarity between the variance, correlation and sum average features was measured, based on the Euclidian distance and tree classification in order to classify healthy regions and ICH regions.

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تاریخ انتشار 2003