Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Research into the potential benefits of artificial intelligence for comprehending the intricate
biology of cancer has grown as a result of the widespread use of deep learning and …

In computer vision applications like surveillance and remote sensing, to mention a few, deep
learning has had considerable success. Medical imaging still faces a number of difficulties …

Skin cancer, a critical health concern, necessitates accurate early detection and
classification to mitigate its impact. However, the limited availability of medical datasets and …

Mirrors play a significant role in our daily lives and are ubiquitous. However, deep learning
computer vision models find them challenging owing to the negative impact of reflected …

This paper introduces an innovative image classification technique utilizing knowledge
distillation, tailored for a lightweight model structure. The core of the approach is a modified …

3D semi-supervised medical image segmentation is extremely essential in computer-aided
diagnosis, which can reduce the time-consuming task of performing annotation. The …

Deep learning has seen rapid growth in recent years and achieved state-of-the-art
performance in a wide range of applications. However, training models typically requires …

Crowd density estimation has gained significant research interest owing to its potential in
various industries and social applications. Therefore, this article proposes a multistyle joint …

Dermatological conditions are a global health concern affecting all age groups. They
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …