This paper has reviewed, with somewhat variable coverage, the nine MR image
segmentation techniques itemized in Table II. A wide array of approaches have been …

Although cancer often is referred to as “a disease of the genes,” it is indisputable that the
(epi) genetic properties of individual cancer cells are highly variable, even within the same …

The analysis of MR images is evolving from qualitative to quantitative. More and more, the
question asked by clinicians is how much and where, rather than a simple statement on the …

The current literature on MRI segmentation methods is reviewed. Particular emphasis is
placed on the relative merits of single image versus multispectral segmentation, and …

Presents a new approach to the correction of intensity inhomogeneities in magnetic
resonance imaging (MRI) that significantly improves intensity-based tissue segmentation …

Characterizing the performance of segmentation algorithms in brain images has been a
persistent challenge due to the complexity of neuroanatomical structures, the quality of …

To segment brain tissues in magnetic resonance images of the brain, the authors have
implemented a stochastic relaxation method which utilizes partial volume analysis for every …

There are many ways to segment an image, that is, to assign a semantic label to each of its
pixels or voxels. Different segmentation techniques use different types of image information …

This paper presents a review of methods and techniques that have been proposed for the
segmentation of magnetic resonance (MR) images of the brain, with a special emphasis on …

In this work, we investigate the effectiveness of fusing two novel texture features along with
intensity in multimodal magnetic resonance (MR) images for pediatric brain tumor …