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

The emerging utilisation of conformal radiotherapy (RT) planning requires sophisticated
imaging modalities. Magnetic resonance imaging (MRI) has introduced several added …

The aim of this work is the development of a semiautomatic segmentation technique for
efficient and accurate volume quantization of Magnetic Resonance (MR) data. The proposed …

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 …

This paper updates several recent surveys on the use of fuzzy models for segmentation and
edge detection in medical image data. Our survey is divided into methods based on …

This thesis deals with the estimation of noise and signal from Magnetic Resonance (MR)
images with a special reference to magnitude MR images. Furthermore, the estimation and …

In the context of automatic medical image segmentation based on statistical learning, raters'
variability of ground truth segmentations in training datasets is a widely recognized issue …

RATIONALE AND OBJECTIVES: This article provides a survey of segmentation methods for
medical images. Usually, classification of segmentation methods is done based on the …

One of the primary diagnostic and treatment evaluation tools for brain tumors has been
magnetic resonance (MR) imaging. MR imaging has become a widely-used method of high …

Magnetic Resonance Imaging (MRI) offers a lot of information for medical examination. Fast,
accurate and reproducible segmentation of MRI is desirable in many applications. Brain …