Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Digital twins (DTs) are becoming increasingly popular in various industries, and their
potential for healthcare in the metaverse continues to attract attention. The metaverse is a …

Recent studies state that, for a person with autism spectrum disorder, learning and
improvement is often seen in environments where technological tools are involved. A robot …

Breast tumor segmentation and recognition from mammograms play a key role in healthcare
and treatment services. As different tumors in mammography have dissimilar densities …

In the present work, we propose a novel method utilizing only a decoder for generation of
pseudo-examples, which has shown great success in image classification tasks. The …

There are still two problems in SDD causing some inaccurate results:(1) In the process of
feature extraction, with the layer-by-layer acquisition of semantic information, local …

Deep learning algorithms have exhibited impressive performance across various computer
vision tasks; however, the challenge of overfitting persists, especially when dealing with …

In a growing world of technology, psychological disorders became a challenge to be solved.
The methods used for cognitive stimulation are very conventional and based on one-way …

As cardiovascular disorders are prevalent, there is a growing demand for reliable and
precise diagnostic methods within this domain. Audio signal-based heart disease detection …

Over the years, the paradigm of medical image analysis has shifted from manual expertise to
automated systems, often using deep learning (DL) systems. The performance of deep …