Image segmentation is one of the most important tasks in medical image analysis and is
often the first and the most critical step in many clinical applications. In brain MRI analysis …

Medical image segmentation plays an important role in medical-imaging applications and
they provide a large amount of functional and anatomical information, which improve and …

Brain image segmentation is one of the most important parts of clinical diagnostic tools.
Brain images mostly contain noise, inhomogeneity and sometimes deviation. Therefore …

Accurate segmentation of magnetic resonance (MR) images of the brain is of interest in the
study of many brain disorders. In this paper, we provide a review of some of the current …

Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Brain tumor segmentation consists of separating the different tumor tissues (solid or active
tumor, edema, and necrosis) from normal brain tissues: gray matter (GM), white matter (WM) …

Many methods have been proposed for tissue segmentation in brain MRI scans. The
multitude of methods proposed complicates the choice of one method above others. We …

Magnetic Resonance Imaging (MRI) has commonly been used to detect and diagnose brain
disease and monitor treatment as non-invasive imaging technology. MRI produces three …

A method called morphology-based brain segmentation (MBRASE) has been developed for
fully automatic segmentation of the brain from T1-weighted MR image data. The starting …

Brain tumor segmentation aims to separate the different tumor tissues such as active cells,
necrotic core, and edema from normal brain tissues of White Matter (WM), Gray Matter (GM) …