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 …

This work aims to determine the most suitable technique for dermoscopy image
augmentation to improve the performance of lesion classifications. Also, a new …

In this work, the federated learning mechanism is introduced into the deep learning of
medical models in Internet of Things (IoT)-based healthcare system. Cryptographic …

Skin lesion classification has recently attracted significant attention. Regularly, physicians
take much time to analyze the skin lesions because of the high similarity between these skin …

Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …

Few-shot class incremental learning (FSCIL) aims to incrementally add sets of novel classes
to a well-trained base model in multiple training sessions with the restriction that only a few …

Image-guided intervention is a medical procedure that leverages computerized systems to
deliver virtual image overlays to help physicians in visualization and targeting the surgical …

The most widespread disease that often puts the patient's life in danger is skin disease.
Avoiding this situation, it necessitates the development of efficient and reliable skin cancer …

Abstract Background and Objective The incidence rate of skin cancers is increasing
worldwide annually. Using machine learning and deep learning for skin lesion classification …

Skin cancer is one of the most fatal skin lesions, capable of leading to fatality if not detected
in its early stages. The characteristics of skin lesions are similar in many of the early stages …