Melanoma remains the most harmful form of skin cancer. Convolutional neural network
(CNN) based classifiers have become the best choice for melanoma detection in the recent …

Melanoma is one of the most common types of cancer that can lead to high mortality rates if
not detected early. Recent studies about deep learning methods show promising results in …

Importance Deep learning convolutional neural networks (CNNs) have shown a
performance at the level of dermatologists in the diagnosis of melanoma. Accordingly …

Skin cancer is one of the most prevalent cancers worldwide, with increasing incidence. Skin
cancer is typically classified as melanoma or non-melanoma skin cancer. Although …

Skin cancer is a serious disease that affects people all over the world. Melanoma is an
aggressive form of skin cancer, and early detection can significantly reduce human mortality …

The progressive depletion of the ozone layer poses a significant threat to both human health
and the environment. Prolonged exposure to ultraviolet radiation increases the risk of …

The tumors on the skin are characterized by a high mortality rate. Research is attempting the
automatic early diagnosis of melanoma, a lethal form of skin cancer, from dermoscopic …

Skin cancer is one of the most deadly diseases around the world, wherein one of the three
cancers is skin cancer. Early detection of skin cancer is paramount for better treatment …

Malignant melanoma is the most vicious and dangerous type of skin cancer, as it can easily
diffuse to other regions of the body. This is the reason that mortality rates of melanoma are …

Dermoscopic images are commonly used in the early diagnosis of skin lesions, and several
computational systems have been proposed to analyze them. The segmentation of the …