Automatic segmentation of skin lesions is the first step towards development of a computer-
aided diagnosis of melanoma. Although numerous segmentation methods have been …

Lesion localization is the first and most important step in the development of a melanoma
detection system. Skin lesions show distinct color variations as they evolve from benign to …

A new approach to extract the lesion region of melanoma is presented. This approach is
based on color morphological operators which are defined from a lexicographic order on the …

Melanoma is one of the most dangerous types of skin cancer and causes thousands of
deaths worldwide each year. Recently dermoscopic imaging systems have been widely …

In this paper, we propose and evaluate six methods for the segmentation of skin lesions in
dermoscopic images. This set includes some state of the art techniques which have been …

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 …

Melanoma is one of the deadly diseases among skin cancer. Melanoma detection can be
done by dermatological screening and biopsy tests which are time consuming and …

Segmentation is one of the crucial steps for the computer-aided diagnosis (CAD) of skin
cancer with dermoscopy images. To accurately extract lesion borders from dermoscopy …

Background and objective: To ensure proper functioning of a Computer Aided Diagnosis
(CAD) system for melanoma detection in dermoscopy images, it is important to accurately …

Automatic segmentation of skin lesions in clinical images is a very challenging task; it is
necessary for visual analysis of the edges, shape and colors of the lesions to support the …