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 …

Deep learning (DL) has become one of the major approaches in computational
dermatopathology, evidenced by a significant increase in this topic in the current literature …

A reported 96,480 people were diagnosed with melanoma in the United States in 2019,
leading to 7230 reported deaths. Early-stage identification of suspicious pigmented lesions …

Background and objectives: One principal impediment in the successful deployment of
Artificial Intelligence (AI) based Computer-Aided Diagnosis (CAD) systems in everyday …

The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if
detected early. For this reason, various systems of skin lesion image analysis, which support …

Background Early detection of melanoma is essential to reduce mortality. Total body
photography (TBP) can facilitate the detection of melanoma in high‐risk individuals …

In recent years, deep learning (DL) has shown great potential in the field of dermatological
image analysis. However, existing datasets in this domain have significant limitations …

The skin, which has seven layers, is the main human organ and external barrier. According
to the World Health Organization (WHO), skin cancer is the fourth leading cause of non-fatal …

Background and Objective. Skin cancer is the most common cancer worldwide. One of the
most common non-melanoma tumors is basal cell carcinoma (BCC), which accounts for …

Melanoma is one of the most lethal and rapidly growing cancers, causing many deaths each
year. This cancer can be treated effectively if it is detected quickly. For this reason, many …