INFORMATICAInformatica0868-49520868-4952VUinf1521010.15388/Informatica.2004.060Research articleIschemic Stroke Segmentation on CT Images Using Joint FeaturesUšinskasAndriusandrius.usinskas@el.vtu.ltFaculty of Electronics, Vilnius Gediminas Technical University, Naugarduko 41, 03227 Vilnius, LithuaniaDobrovolskisRomualdas A.Center of Radiology, Faculty of Medicine, Vilnius University, Santariškių 2, 08661 Vilnius, LithuaniaTomandlBernd F.Universität Erlangen‐Nürnberg Abteilung Neuroradiologie, Schwabachanlage 6, D‐91054 Erlangen, Germany0101200415228329001082003

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.

ischemic stroke of human head braincomputed tomographyimage segmentation