Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …

Image‐based computer aided diagnosis systems have significant potential for screening
and early detection of malignant melanoma. We review the state of the art in these systems …

One of the most common types of human malignancies is skin cancer, which is chiefly
diagnosed visually, initiating with a clinical screening followed by dermoscopic analysis …

The increasing incidence of melanoma has recently promoted the development of computer-
aided diagnosis systems for the classification of dermoscopic images. Unfortunately, the …

OBJECTIVE: Computerized analysis of pigmented skin lesions (PSLs) is an active area of
research that dates back over 25years. One of its main goals is to develop reliable automatic …

This chapter proposes a novel hierarchical classification system based on the K-Nearest
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …

During the last years, computer-vision-based diagnosis systems have been used in several
hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and …

In recent years, computational diagnostic tools and artificial intelligence techniques provide
automated procedures for objective judgments by making use of quantitative measures and …

Background The use of artificial intelligence (AI) for skin cancer assessment has been an
emerging topic in dermatology. Leadership of dermatologists is necessary in defining how …

There have been many attempts to implement traditional telemedicine across the world
especially in the developing countries, but the efforts has been characterized with …