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Ischemic Stroke Segmentation on CT Images Using Joint Features
Volume 15, Issue 2 (2004), pp. 283–290
Andrius Ušinskas   Romualdas A. Dobrovolskis   Bernd F. Tomandl  

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https://doi.org/10.15388/Informatica.2004.060
Pub. online: 1 January 2004      Type: Research Article     

Received
1 August 2003
Published
1 January 2004

Abstract

The paper describes a new method to segment ischemic stroke region on computed tomography (CT) images by utilizing joint features from mean, standard deviation, histogram, and gray level co‐occurrence matrix methods. Presented unsupervised segmentation technique shows ability to segment ischemic stroke region.

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Keywords
ischemic stroke of human head brain computed tomography image segmentation

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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