Computer-Assisted Segmentation of White Matt Lesions in 3D MR Images Usi Support Vector Machine1
نویسندگان
چکیده
Materials and Methods. In this article, we present a computer-assisted WML segmentation method, based on local f tures extracted from multiparametric magnetic resonance imaging (MRI) sequences (ie, T1-weighted, T2-weighted, pro density-weighted, and fluid attenuation inversion recovery MRI scans). A support vector machine classifier is first tr on expert-defined WMLs, and is then used to classify new scans.
منابع مشابه
Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine.
RATIONALE AND OBJECTIVES Brain lesions, especially white matter lesions (WMLs), are associated with cardiac and vascular disease, but also with normal aging. Quantitative analysis of WML in large clinical trials is becoming more and more important. MATERIALS AND METHODS In this article, we present a computer-assisted WML segmentation method, based on local features extracted from multiparamet...
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