Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has
been used widely in different applications as visual feedback to enhance language learning …

We present a preliminary design and experimental results of tumor objects tracking method
for magnetic resonance imaging (MRI) brain images (some stock images) that utilizes color …

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 …

B-mode ultrasound has emerged as a prevalent tool for observing tongue motion in speech
production, gaining traction in speech therapy applications. However, the effective analysis …

This paper presents an investigation into ways of integrating articulatory features into hidden
Markov model (HMM)-based parametric speech synthesis. In broad terms, this may be …

Computerized analysis of the tongue surface movement can provide valuable information to
speech and swallowing research. Ultrasound technology is currently the most attractive …

Previous speech synthesis models from articulatory movements recorded using real-time
MRI (rtMRI) only predicted vocal tract shape parameters and required additional pitch …

In this study, we made use of the discrete active contour model to overcome the natural
properties of ultrasound (US) images, speckle, noise and tissue-related textures, to segment …

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 …

This paper presents a novel segmentation technique for extracting cavity contours from
ultrasound images. The problem is first discretized by projecting equispaced radii from an …