Ischemic stroke segmentation on CT images using joint features
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.
computed tomography ischemic stroke of human head brain image segmentation