The experimental ultrasound data is always trained by measurement errors, internal and external noise. For this reason, it is always necessary to apply some signal processing operations, such as ...

Abstract: This study delves into two fault localization techniques in power transmission systems, specifically focusing on the Discrete Wavelet Transform (DWT) and the DifferentiatorSmoother (DS) ...

Abstract: In this paper, a scale/frequency approach, based on the wavelet transform, was used in an attempt to characterize carotid atherosclerotic plaque from B-mode ultrasound. Two wavelet ...

Introduction: Nucleus segmentation plays an essential role in digital pathology,particularly in cancer diagnosis and the evaluation of treatment efficacy. Accurate nucleus segmentation provides ...