Due to the presence of speckle noise and similarities, it is difficult to recognize the
boundaries of abnormal regions in ultrasound images. An automatic segmentation is …

Ultrasound images are difficult to segment due to presence of speckle noise and the
boundaries of abnormal regions are also difficult to recognize due to similarity. It is important …

In this paper, a hybrid method for the segmentation of medical ultrasound images is
proposed. The method is composed of two parts as region growing and region merging …

Ultrasound image segmentation is a critical issue in medical image analysis and
visualization. Identifying the boundaries of abnormal regions in some cases is challenging …

Ultrasound images are inherently difficult to analyze due to their echo texture, speckle noise
and weak edges. Taking into account these characteristics, we present a new region-based …

This paper presents the region based segmentation method for ultrasound images using
local statistics. In this segmentation approach the homogeneous regions depends on the …

Ultrasonography is a technique which helps the physician to visualize the structures of
internal organs of human body. In some cases it is difficult to identify the boundaries of …

This paper describes a region growing segmentation algorithm for medical ultrasound
images. The algorithm starts with anisotropic diffusion filtering to reduce speckle noise …

A new approach, cell-based region competition, based on watershed transform and region
competition is proposed to detect the multiple objects of interest with highly winding contours …