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

Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …

Background Application of deep‐learning technology to skin cancer classification can
potentially improve the sensitivity and specificity of skin cancer screening, but the number of …

Importance The recent advances in the field of machine learning have raised expectations
that computer-aided diagnosis will become the standard for the diagnosis of melanoma …

Artificial intelligence (AI), as an advanced science technology, has been widely used in
medical fields to promote medical development, mainly applied to early detections, disease …

Skin cancer is one of the most common types of cancer. Skin cancers are classified as
nonmelanoma and melanoma, with the first type being the most frequent and the second …

Background Computer-aided diagnosis of skin lesions is a growing area of research, but its
application to nonmelanoma skin cancer (NMSC) is relatively under-studied. The purpose of …

Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …

In the era of digitized images, the goal is to extract information from them and create new
knowledge thanks to Computer Vision techniques, Machine Learning and Deep Learning …

The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death
cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is …