Recently, pre-trained deep learning (DL) models have been employed to tackle and
enhance the performance on many tasks such as skin cancer detection instead of training …

Skin cancer is the most perilous kind of cancer, which is a most important public health
problem. Skin cancer can be prevented and treated more effectively if malignant lesions are …

Accurate skin lesion diagnosis is critical for the early detection of melanoma. However, the
existing approaches are unable to attain substantial levels of accuracy. Recently, pre-trained …

Skin cancer affects the lives of millions of people every year, as it is considered the most
popular form of cancer. In the USA alone, approximately three and a half million people are …

Skin cancer is a risky ailment that can be effectively managed if detected promptly. However,
timely recognition of skin cancer remains a challenge. In this study, a robotic computer …

The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …

Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …

Nowadays, skin cancer is one of the most dangerous forms of cancer found in humans.
There are various types of skin cancer, like basal, melanoma, carcinoma, and the squamous …

Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …

Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …