Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …

Skin cancer is one of the most common types of cancer worldwide. Over the past few years,
different approaches have been proposed to deal with automated skin cancer detection …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Melanoma is considered one of the most dangerous skin cancer diseases that threaten
human health and life. Early diagnosis of melanoma is a big challenge, especially with the …

Computer-aided skin cancer detection systems built with deep neural networks yield
overconfident predictions on out-of-distribution examples. Motivated by the importance of out …

Over the last decades, the incidence of skin cancer, melanoma and non-melanoma, has
increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer …

Skin lesions diagnostic is a challenging problem due to the variety of visual aspects of the
lesions. The clinical analysis of skin lesions relies on the visual information as well as on the …

Melanoma is a type of skin lesion that is less common than other types of skin lesions, but it
is fast growing and spreading. Therefore, it is classified as a serious disease that directly …

In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly
increased, driven primarily by the development of Convolutional Neural Networks and …