In this paper, we propose a novel approach to discriminate malignant melanomas and
benign atypical nevi, since both types of melanocytic skin lesions have very similar …

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

Background For early melanoma diagnosis, experienced dermatologists have an accuracy
of 64–80% using clinical diagnostic criteria, usually the ABCD rule, while automated …

The incidence of malignant melanoma has signifi-cantly increased in the last four decades.
Dermatologists are rarely present in rural or remote areas to perform an early de-tection of …

In this paper, we describe an automatic system for inspection of pigmented skin lesions and
melanoma diagnosis, which supports images of skin lesions acquired using a conventional …

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

Early detection of melanoma is one of the greatest challenges of dermatologic practice
today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features …

Traditional methods for early detection of melanoma rely upon a dermatologist to visually
assess a skin lesion using the ABCDE (Asymmetry, Border irregularity, Color variegation …

Automatic and reliable diagnosis of skin cancer, as a smartphone application, is of great
interest. Among different types of skin cancers, melanoma is the most dangerous one which …

This paper deals with ELM image processing for automatic analysis of pigmented skin
lesions which represents one of the greatest challenges of dermatologic practice today. The …