It is usually difficult to correctly segment medical images with intensity inhomogeneity, which
is of great significance in understanding of medical images. The local image intensity …

Segmentation of medical images is challenging due to poor image contrast and artifacts that
result in missing or diffuse organ or tissue boundaries. In this paper, we proposed a …

Appropriate initialization and stable evolution are desirable criteria to satisfy in level set
methods. In this study, a novel region-based level set method utilizing both global and local …

Image segmentation is an essential analysis tool in the field of computer vision, and the level
set method has been widely used in image segmentation. Specifically, the edge-based level …

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 …

In this paper, a level set model without the need of generating initial contour and setting
controlling parameters manually is proposed for medical image segmentation. The …

A new region-based active contour model in level set formulation is proposed to segment
medical images with poorly defined boundaries. From literature, it is observed that the …

Accuracy and Clarity are important issues for medical imaging and same in the case of
segmentation. This paper proposes a novel method for segmentation of medical image …

This paper presents a new hybrid speed function needed to perform image segmentation
within the level-set framework. The proposed speed function uses both the boundary and …

Level set based methods are being increasingly used in image segmentation. In these
methods, various shape constraints can be incorporated into the energy functionals to obtain …