Artificial intelligence (AI)-based medical diagnosis has received huge attention due to its
potential to improve and accelerate the decision-making process at the patient level in a …

Skin cancer is considered to be the most common human malignancy. Around 5 million new
cases of skin cancer are recorded in the United States annually. Early identification and …

Deep learning (DL) models have received particular attention in medical imaging due to
their promising pattern recognition capabilities. However, Deep Neural Networks (DNNs) …

Skin cancer is considered to be the most common human malignancy. Around 5 million new
cases of skin cancer are recorded in the United States annually. Early identification and …

Skin cancer is a significant global health concern, with its early detection and diagnosis
playing a pivotal role in improving patient health outcomes. In recent years, artificial …

Traditional skin cancer screening necessitates a time-consuming physical examination by a
dermatologist. One of the most difficult tasks in image analysis is automated medical picture …

Recent years have seen a steep rise in the number of skin cancer detection applications.
While modern advances in deep learning made possible reaching new heights in terms of …

Skin cancer, primarily resulting from the abnormal growth of skin cells, is among the most
common cancer types. In recent decades, the incidence of skin cancer cases worldwide has …

Background Skin cancer is the most common cancer type affecting humans. Traditional skin
cancer diagnosis methods are costly, require a professional physician, and take time …

Simple Summary The proposed research aims to provide a deep insight into the deep
learning and machine learning techniques used for diagnosing skin cancer. While …