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 …

Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …

This paper addresses the demand for an intelligent and rapid classification system of skin
cancer using contemporary highly-efficient deep convolutional neural network. In this paper …

Skin cancer is one of the most prevalent malignancies in humans and is generally
diagnosed through visual means. Since it is essential to detect this type of cancer in its early …

Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …

As benign tumors, warts are made through the mediation of Human Papillomavirus (HPV)
and may grow on all parts of body, especially hands and feet. There are several treatment …

In this paper, the effectiveness and capability of convolutional neural networks have been
studied in the classification of 8 skin diseases. Different pre-trained state-of-the-art …

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 …

Traditional approaches to automatic diagnosis of skin lesions consisted of classifiers
working on sets of hand-crafted features, some of which modeled lesion aspects of special …

In this research, we undertake intelligent skin cancer diagnosis based on dermoscopic
images using a variant of the Particle Swarm Optimization (PSO) algorithm for feature …