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

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 …

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 …

Malignant melanoma is one of the most dreadful skin cancer types caused by the abnormal
growth of melanocyte cells. Deep convolutional neural network (CNN) models are becoming …

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 …

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 …

Skin cancer is one of the most dangerous types of cancers that affect millions of people
every year. The detection of skin cancer in the early stages is an expensive and challenging …

Melanoma is the fastest growing and most lethal cancer among all forms of skin cancer.
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …

Skin cancer is a major public health problem around the world. Its early detection is very
important to increase patient prognostics. However, the lack of qualified professionals and …

With the massive success of deep networks, there have been significant efforts to analyze
cancer diseases, especially skin cancer. For this purpose, this work investigates the …