To detect multiple sclerosis (MS) diseases early, we proposed a novel method on the
hardware of magnetic resonance imaging, and on the software of three successful methods …

Radiomic analysis allows for the detection of imaging biomarkers supporting decision-
making processes in clinical environments, from diagnosis to prognosis. Frequently, the …

Edge detection is the prior stage to object recognition and considered as a pillar for image
processing task. It is a process to detect such locations from images in terms of pixels where …

Spectrum sensing is an important technological requirement in the quest to realize dynamic
spectrum access (DSA) in today's wireless world. Cognitive radio (CR) has been identified …

Traffic sign recognition (TSR) has been a rising and lucrative field for researchers during the
last decades. The high improvement of ADAS (autonomic driving autonomous system) has …

The paper proposes a lifting scheme-based wavelet transform clustering method as a better
alternative to traditional alignment-based virus genome classification and grouping …

Recently, researchers have shown an increased interest in the early diagnosis and
detection of lung cancer using the characteristics of computed tomography (CT) images. The …

Till now, the detection of diabetic retinopathy seems to be one of the sensitive research
topics since it is related to health care of any individual. A number of contributions in terms of …

The prevalence of colorectal cancer, primarily emerging from polyps, underscores the
importance of their early detection in colonoscopy images. Due to the inherent complexity …

In this article, a highly adaptable method the empirical wavelet transform (EWT) is utilized to
compress electrocardiogram (ECG) data. EWT and run-length encoding (RLE)-based …