Melanoma and keratinocyte skin cancer (KSC) are the most common types of cancer in
White-skinned populations. Both tumor entities showed increasing incidence rates …

Background: Thanks to the rapid development of computer-based systems and deep-
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …

Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …

Background Despite efforts toward the earlier detection and prevention of skin cancer, the
prevalence of skin cancers continues to increase. Identifying trends in skin cancer burdens …

Background The disease burden of non-melanoma skin cancer (NMSC) has become a
significant public health threat. We aimed to conduct a comprehensive analysis to mitigate …

Background and objective: Skin cancer is among the most common cancer types in the
white population and consequently computer aided methods for skin lesion classification …

Simple Summary Melanoma is a major public health issue that claims the lives of thousands
of people every year. Furthermore, the outlook for the coming years is not encouraging with …

Abstract Machine learning (ML) has the potential to improve the dermatologist's practice
from diagnosis to personalized treatment. Recent advancements in access to large datasets …

Basal cell carcinoma (BCC) is the most common malignant tumour in white populations.
Multi-disciplinary experts from European Association of Dermato-Oncology (EADO) …

(1) Background: Non-melanoma skin cancer is the most frequently diagnosed cancer in
humans. The process of skin carcinogenesis is still not fully understood. However, several …