This paper reviews ultrasound segmentation methods, in a broad sense, focusing on
techniques developed for medical B-mode ultrasound images. First, we present a review of …

In ultrasound imaging, various statistical distributions have been proposed to model the first-
order statistics of the amplitude of the echo envelope. We present an overview of these …

The statistics of ultrasound echo envelope signals can be used to characterize scattering
media. The Rayleigh distribution and its generalized forms, the K and Rice distributions …

Automatic contouring for breast tumors using medical ultrasound (US) imaging may assist
physicians without relevant experience, in making correct diagnoses. This study integrates …

Ultrasound (US) is a useful diagnostic tool to distinguish benign from malignant masses of
the breast. It is a very convenient and safe diagnostic method. However, there is a …

A good statistical model of speckle formation is useful for designing a good adaptive filter for
speckle reduction In ultrasound B-scan images. Previously, statistical models have been …

To increase the ability of ultrasonographic technology for the differential diagnosis of solid
breast tumors, we describe a novel computer-aided diagnosis (CADx) system using neural …

Ultrasonic image segmentation is a difficult problem due to speckle noise, low contrast, and
local changes of intensity. Intensity-based methods do not perform particularly well on …

The purpose of this study was to evaluate the performance of neural network model self-
organizing maps (SOM) in the classification of benign and malignant sonographic breast …

To increase the ability of ultrasonographic (US) technology for the differential diagnosis of
solid breast tumors, we describe a novel computer-aided diagnosis (CADx) system using …