Artificial intelligence (AI) is an integral part of clinical decision support systems (CDSS),
offering methods to approximate human reasoning and computationally infer decisions …

Signal processing is a fundamental component of almost any sensor-enabled system, with a
wide range of applications across different scientific disciplines. Time series data, images …

Deep learning-based approaches for content-based image retrieval (CBIR) of computed
tomography (CT) liver images is an active field of research, but suffer from some critical …

Imaging plays a vital role in enabling the visualization and analysis of objects and
phenomena across various scientific disciplines and industrial sectors, spanning a wide …

The detection of abnormalities in the gastrointestinal (GI) tract, including precancerous
lesions, is substantially subject to expert knowledge and experience. To address the …

A revolutionary imaging device termed wireless capsule endoscopy (WCE) provides a
painless, noninvasive vision of the complete gastrointestinal (GI) tract. Given the poor …

Interpretable machine learning models have recently received a considerable attention for
their capability to provide understandable explanations of predictions evoked from complex …

Wireless capsule endoscopy (WCE) allows physicians to observe the digestive tract without
doing surgery, at the cost of a huge volume of images should be analysed. The analysis and …

Video capsule endoscopy (VCE) is an innovation that has revolutionized care within the field
of gastroenterology, but the time needed to read the studies generated has often been cited …

In the world of medical image analysis, the timely and precise recognition of gastrointestinal
disorders through Wireless Capsule Endoscopy (WCE) has emerged as a significant threat …