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 …

Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …

Although many efforts have been made through past years, skin cancer recognition from
medical images is still an active area of research aiming at more accurate results. Many …

The classification of tumours into benign and malignant continues to date to be a very
relevant and significant research topic in the cancer research domain. With the advent of …

Skin diseases are highly prevalent and transmissible. It has been one of the major health
problems that most people face. The diseases are dangerous to the skin and tend to spread …

Deep Learning models have shown tremendously impressive performance on image
classification tasks. In the medical imaging domain, progress has been made in obtaining …

Cancer remains a significant global health concern, with increasing genetic and metabolic
irregularities linked to its onset. Among various forms of cancer, skin cancer, including …

One of the most important features of a reliable power system is its capability to supply the
demand continuously. This continuous supply has been maintained by the transient stability …

There is often a lack of explanation when artificial intelligence (AI) is used to diagnose skin
lesions, which makes the physician unable to interpret and validate the output; thus …