Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …

Background: State-of-the-art classifiers based on convolutional neural networks (CNNs)
were shown to classify images of skin cancer on par with dermatologists and could enable …

Background Climate change is broadly affecting human health with grave concern that
continued warming of earth's atmospheric will result is serious harm. Since the mid-20 th …

Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …

The increase in air pollution over the years has had major effects on the human skin.
Various air pollutants such as ultraviolet radiation, polycyclic aromatic hydrocarbons, volatile …

The skin containing melanin pigment acts as a protective barrier and counteracts the UVR
and other environmental stressors to maintain or restore disrupted cutaneous homeostasis …

Skin cancer is a severe disease that is common and causes death if left untreated. When
skin cancer is detected early through dermatoscopic imaging, the possibility of definitive …

The presence of mutations of BRAF, NRAS, and KIT genes is recognized as playing a role
during carcinogenesis. Our study aims to evaluate and review other studies that present the …

Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …

Background Cutaneous melanoma (CM) incidence rates continue to increase, and the
reasons are unknown. Previously, we reported a unique age-specific sex difference in …