background: multiple sclerosis (ms) is a degenerative disease of central nervous system. ms patients have some dead tissues in their brains called ms lesions. mri is an imaging technique sensitive to soft tissues such as brain that shows ms lesions as hyper-intense or hypo-intense signals. since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...

This paper researches on Tibetan automatic word segmentation. We focus on three key technologies of Tibetan automatic word segmentation: (1) a Tibetan automatic word segmentation approach is proposed, which is taking the advantage of case-auxiliary words and continuous feature. (2) a resolution method of overlapping ambiguity in Tibetan word segmentation is proposed, which is based on forward-b...

The objectives of the study were to develop a framework for automatic outer and inner breast tissue segmentation using multi-parametric MRI images of the breast tumor patients; and to perform breast density and tumor tissue analysis. MRI of the breast was performed on 30 patients at 3T-MRI. T1, T2 and PD-weighted(W) images, with and without fat saturation(WWFS), and dynamic-contrast-enhanced(DC...

In this paper, we present a new application of image segmentation algorithms and an adaptation of the image segmentation method of Tavakoli et al. to the problem of vegetation segmentation. While the traditional goal of image segmentation is to provide a figure/ground segmentation for object recognition or semantic segmentation to assist humans, we propose to use image segmentation in order to ...