Ischemic Stroke Segmentation on CT Images Using Joint Features

Andrius Ušinskas, R. A. Dobrovolskis, Bernd F. Tomandl · Informatica · 2004

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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