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 one of the most deathful of all the cancers. It is bound to spread to different
parts of the body on the off chance that it is not analyzed and treated at the beginning time. It …

Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Melanoma skin cancer is one of the most dangerous types of skin cancer, which, if not
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …

Melanoma skin cancer is one of the most deadly forms of cancer which are responsible for
thousands of deaths. The manual process of melanoma diagnosis is a time taking and …

Skin cancer is a deadly disease, and its early diagnosis enhances the chances of survival.
Deep learning algorithms for skin cancer detection have become popular in recent years. A …

Cancer is among the common causes of death around the world. Skin cancer is one of the
most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition …

With the explosion of advanced Information and Recognition model, primarily the Deep
Learning (DL) and Transfer Learning (TL) models, all aspects of recent research have been …

In this paper, we studied extensively on different deep learning based methods to detect
melanoma and skin lesion cancers. Melanoma, a form of malignant skin cancer is very …

Convolutional neural networks (CNNs) are a branch of deep learning which have been
turned into one of the popular methods in different applications, especially medical imaging …