Breast cancer is one of the leading causes of cancer death among women worldwide. In
clinical routine, automatic breast ultrasound (BUS) image segmentation is very challenging …

Gradient vector flow (GVF) active contour model shows good performance at concavity
convergence and initialization insensitivity, yet it is susceptible to weak edges as well as …

Segmentation of the left ventricle (LV) is a hot topic in cardiac magnetic resonance (MR)
images analysis. In this paper, we present an automatic LV myocardial boundary …

Segmentation of ultrasound (US) images of breast cancer is one of the most challenging
problems of the modern medical image processing. A number of popular codes for US …

Automatically extracting breast tumor boundaries in ultrasound images is a difficult task due
to the speckle noise, the low image contrast, the variance in shapes, and the local changes …

Active contour model has been widely used over the past decade in image segmentation.
For parametric active contour model, it is always used to segment objects because of its …

Segmentation of tumors in the ultrasound (US) images of the breast is a critical problem in
medical imaging. Due to the poor quality of the US images and varying specifications of the …

Segmentation of ultrasound (US) images of breast cancer is one of the most challenging
problems of modern medical image processing. A number of popular codes for US …

Computer aided diagnostics of the breast cancer is one of the most challenging problems of
the contemporary medical image processing. Computerized detection of the breast tumors …

Among the most promising techniques for extraction of complex objects from digital images
are active contours or snakes, originally introduced by Kass et al. Since the seminal work of …