Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …

Melanoma remains the most harmful form of skin cancer. Convolutional neural network
(CNN) based classifiers have become the best choice for melanoma detection in the recent …

Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

Featured Application The proposed intelligent medical system is applicable for a medical
diagnostic system, especially for the diagnosis of diabetic foot ulcer. Abstract One of the …

This study aims to create a precise skin cancer classification system (SC-CS) able to
distinguish various skin cancer types. Targeted categories include melanoma, vascular …

Melanoma is a fatal type of skin cancer; the fury spread results in a high fatality rate when
the malignancy is not treated at an initial stage. The patients' lives can be saved by …

Skin cancer is a type of dangerous disease, and early detection is necessary to increases
the survival rate. In recent years, deep learning models applied to computerized skin cancer …

Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …

Cancer is a deadly disease that arises due to the growth of uncontrollable body cells. Every
year, a large number of people succumb to cancer and it's been labeled as the most serious …

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