Ischemic Stroke Segmentation on CT Images Using Joint Features
Volume 15, Issue 2 (2004), pp. 283–290
Pub. online: 1 January 2004
Type: Research Article
Received
1 August 2003
1 August 2003
Published
1 January 2004
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.