Skin cancer is a global threat to the healthcare system and is estimated to incline
tremendously in the next 20 years, if not diagnosed at an early stage. Even though it is …

Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …

Skin lesion classification plays a crucial role in diagnosing various gene and related local
medical cases in the field of dermoscopy. In this paper, a new model for the classification of …

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

Skin cancer is a significant health risk that requires early detection for effective treatment.
This paper discusses two automated techniques, Artificial Neural Network (ANN) and …

Skin cancer is one of the most common diseases that can be initially detected by visual
observation and further with the help of dermoscopic analysis and other tests. As at an initial …

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 …

Skin cancer is one of the most dangerous diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …

There are now a variety of intriguing options for the study of genetic data thanks to recent
developments in artificial neural networks and deep learning. In this study, we use a deep …