Innovative technologies in dermatology allow for the early screening of skin cancer, which
results in a reduction in the mortality rate and surgical treatments. The diagnosis of …

The prevalence of skin cancer has been increasing for the last few decades. Abnormal
growth of cells forms skin lesions, which if not treated at the earliest, may turn into cancer …

In this paper we propose a machine learning approach to classify melanocytic lesions as
malignant or benign, using dermoscopic images. The lesion features used in the …

In this paper we present an accelerated system for diagnosing skin lesions based on
digitized dermatoscopic color images. This system is composed mainly of three levels …

Purpose Melanoma is known as the most aggressive form of skin cancer and one of the
fastest growing malignant tumors worldwide. Several computer‐aided diagnosis systems for …

Early diagnosis is still the most important factor to deal with skin cancer, a disease that
challenges physicians and researchers. It has benefited from computer-aided diagnosis …

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 …

Background: Skin cancer is one of the most common forms of cancers among humans. It can
be classified as non-melanoma and melanoma. Although melanomas are less common than …

Background and objective: Several systems for the diagnosis of melanoma from images of
naevi obtained under controlled conditions have demonstrated comparable efficiency with …

Skin cancer is a major health issue affecting a vast segment of the population regardless the
skin color. This affectation can be detected using dermoscopy to determine whether the …