Background Melanoma has one of the fastest rising incidence rates of any cancer. It
accounts for a small percentage of skin cancer cases but is responsible for the majority of …

Melanoma is considered the most serious type of skin cancer. All over the world, the
mortality rate is much high for melanoma in contrast with other cancer. There are various …

We propose a multitask deep convolutional neural network, trained on multimodal data
(clinical and dermoscopic images, and patient metadata), to classify the 7-point melanoma …

This review aims to explore applied variety methods for prognosis and diagnosis melanoma
in early stages. The role of skin self-examination in early detection, the use of dreamscape …

Melanoma is considered a fatal type of skin cancer. However, it is sometimes hard to
distinguish it from nevus due to their identical visual appearance and symptoms. The …

Skin disease is one of the most common diseases in the world. Deep learning-based
methods have achieved excellent skin lesion recognition performance, most of which are …

The ABCD (asymmetry, border irregularity, colour and dermoscopic structure) rule of
dermoscopy is a scoring method used by dermatologists to quantify dermoscopy findings …

Objective Clinical and dermoscopy images (multi-modality image pairs) are routinely used
sequentially in the assessment of skin lesions. Clinical images characterize a lesion's …

The time for clinicians to use dermoscopy in evaluating and managing cutaneous
malignancies is fast approaching. Currently, many dermatologists are using dermoscopy …

Artificial intelligence (AI) systems have been shown to help dermatologists diagnose
melanoma more accurately, however they lack transparency, hindering user acceptance …