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 …

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 …

The most dangerous type of skin cancer in the world is Melanoma. Early diagnosis of this
cancer in primary stages can increase the chance of surviving death. In recent years …

Skin cancer has a significant impact across the world. Melanoma is a malignant form of skin
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …

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 among the most prevalent and life-threatening forms of cancer that occur
worldwide. Traditional methods of skin cancer detection need an in-depth physical …

Skin cancer is a major public health concern and the most common type of cancer among
the other types. Reliable automated classification systems will provide clinicians with great …

The higher rate of skin diseases caused by infections, allergies, lifestyle changes, increased
use of chemicals, unhealthy food habits, and hereditary reactions, among other factors …

The increasing frequency of skin tumour across the globe and their timely diagnosis is one
of the most promising research directions in the healthcare domain. The most important …

Skin cancer is one of the widespread diseases among existing cancer types. More
importantly, the detection of lesions in early diagnosis has tremendously attracted …