Lesion segmentation is a challenging task for computer aided diagnosis systems. In this
article, we propose a novel and fully automated segmentation approach for breast …

We propose a novel initialization method designed for active contours (AC) and the level set
method (LSM), based on walking particles. The algorithm defines the seeds at converging …

Region growing is a frequently used segmentation method for medical ultrasound images
processing. The first step of region growing is selecting the seed point which is inside the …

Ultrasound imaging modality is used prominently for breast cancer screening and diagnosis
because of its safety, portability, ease of use and low cost. Over the years, computer-assisted …

This paper addresses the problem of jointly estimating the statistical distribution and
segmenting lesions in multiple-tissue high-frequency skin ultrasound images. The …

Automatic breast tumor segmentation is a crucial step for breast ultrasound images analysis.
Prior knowledge can be used to improve segmentation performance. However, commonly …

We propose a new segmentation method based on multiple walking particles (WP)
bouncing from the image edges. The particles are able to segment objects characterized by …

Active contours (snakes) are an efficient method for segmentation of ultrasound (US) images
of breast cancer. However, the method produces inaccurate results if the seeds are …

Breast cancer is the second leading cause of death of women worldwide. Accurate lesion
boundary detection is important for breast cancer diagnosis. Since many crucial features for …

With the introduction of the Model Driven Architecture by the OMG, modeling technology
seems to have taken the initiative in middleware technology for distributed application …