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

Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

Melanoma is the fastest growing and most lethal cancer among all forms of skin cancer.
Deep learning methods, mainly convolutional neural networks (CNNs) have recently …

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 …

Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …

Importance The recent advances in the field of machine learning have raised expectations
that computer-aided diagnosis will become the standard for the diagnosis of melanoma …

Over the past two decades, malignant melanoma incidence rate has dramatically risen but
melanoma mortality has only recently stabilized. Due to its propensity to metastasize and …

The Scientific community has been developing computer-aided detection systems (CADs)
for automatic diagnosis of pigmented skin lesions (PSLs) for nearly 30 years. Several works …

Melanoma is a fatal form of skin cancer when left undiagnosed. Computer-aided diagnosis
systems powered by convolutional neural networks (CNNs) can improve diagnostic …

Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …