In this paper, integrating boundary and region information of medical images, we propose a
novel hybrid segmentation method based on level set. The main contributions of this paper …

In this paper, a new hybrid medical image segmentation method in the level-set framework
is proposed. The method uses both the objectpsilas boundary and region information to …

All level set based image segmentation methods are based on an assumption that the level
set function is or close to a signed distance function (SDF). Small time step and costly …

This paper presents a novel level set method to segment medical image with intensity
inhomogeneity (IIH). The multi-scale segmentation idea is incorporated and a new penalty …

This paper presents the performance evaluation of different segmentation algorithms for
medical images. Accuracy and clarity are very important issues for medical imaging and …

In this paper, a new speed function of level set framework is presented. The region
information, instead of the image gradient information, is fused into the level set fundamental …

In this paper, a local hybrid level-set method for medical image segmentation is presented.
In proposed method, a locally fitted binary energy function is introduced into the hybrid level …

This paper presents a novel image segmentation method based on the integration of level
set and marker methods. The two distinct techniques for image processing are combined in …

Level set method has been widely applied to medical image segmentation and analysis.
This method requires the definition of a speed function that governs model deformation. In …

Most of segmentation algorithms are based on the assumption of intensity homogeneity
within an object. However, in many applications, the object of interest contains more than …