Featured Application Skull strip** is the most prevalent brain image analysis method. This
method can be applied to areas such as brain tissue segmentation and volumetric …

Brain extraction, also known as skull strip**, is one of the most important preprocessing
steps for many automatic brain image analysis. In this paper we present a new approach …

Magnetic Resonance Imaging (MRI) is the most extensively used technique for diagnostic
assessment of the functioning of the brain. Compared to other neuroimaging techniques like …

Brain Imaging has been source of several studies in the literature, mostly due to its
importanceboth to predict and to analyze certain diseases or conditions. Extracting the brain …

Brain extraction (skull strip**) is a challenging problem in neuroimaging. It is due to the
variability in conditions from data acquisition or abnormalities in images, making brain …

Background: In the process of volumetric evaluation of the damaged region in the human
brain from a MR image it is very crucial to remove the non-brain tissue from the acquainted …

This study proposes a new method on “detecting brain region in MRI data”. This task is
generally named as “skull strip**” in the literature. The algorithm is developed by using …

Background Dementia and disability are highly prevalent after spontaneous intracerebral
hemorrhage (ICH). Previous studies categorizing ICH by large anatomic boundaries have …

Brain cancer is the premier reason for cancer deaths all over the world. The diagnosis of
brain cancer at an initial stage is mediocre, as the radiologist is ineffectual. Different …

Brain extraction is a process of removing non-brain tissue in the brain magnetic resonance
(MR) images and serves as a first step towards more delicate brain segmentation. Although …