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 …

Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …

Background: Normal metabolism generates several volatile organic compounds (VOCs) that
are excreted in the breath (eg alkanes). In patients with lung cancer, induction of high-risk …

Purpose: Based on our first experiences with real-time elastography in the field of prostate
diagnostics we evaluate its usefulness for biopsy guidance for prostate cancer detection …

Abstract Computer-Aided Diagnosis (CAD) system is preferred for automatic thyroid tumor
ultrasound image characterization instead of manual assessment by the experts …

PURPOSE: Artificial intelligence techniques, such as artificial neural networks, Bayesian
belief networks and neuro-fuzzy modeling systems, are complex mathematical models …

Image classification is an issue that utilizes image processing, pattern recognition and
classification methods. Automatic medical image classification is a progressive area in …

In this paper, we review the use of texture features for cancer detection in Ultrasound (US)
images of breast, prostate, thyroid, ovaries and liver for Computer Aided Diagnosis (CAD) …

We propose a novel and accurate method based on ultrasound RF time series analysis and
an extended version of support vector machine classification for generating probabilistic …

Ultrasound is a relatively inexpensive, portable, and versatile imaging modality that has a
broad range of clinical uses. It incorporates many imaging modes, such as conventional …