Computer aided diagnosis of dermoscopy images has shown great promise in developing a
quantitative, objective way of classifying skin lesions. An important step in the classification …

Background Computer‐aided diagnosis of dermoscopy images has shown great promise in
developing a quantitative, objective way of classifying skin lesions. An important step in the …

In this paper, we present a classification method of dermoscopy images between
melanocytic skin lesions (MSLs) and non-melanocytic skin lesions (NoMSLs). The …

Purpose We present a classifier for automatically selecting a lesion border for dermoscopy
skin lesion images, to aid in computer‐aided diagnosis of melanoma. Variation in …

Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and
other pigmented skin lesions. Due to the difficulty and subjectivity of human interpretation …

Background/purpose: Automated border detection is an important and challenging task in
the computerized analysis of dermoscopy images. However, dermoscopic images often …

The interest of the scientific community for computer aided skin lesion analysis and
characterization has been increased during the last years for the growing incidence of …

As a result of advances in skin imaging technology and the development of suitable image
processing techniques during the last decade, there has been a significant increase of …

Malignant melanoma is among the most rapidly increasing cancers in the world. Image
border detection is often the first step to characterize skin lesion for the follow-up computer …

This paper proposes a computer assisted diagnostic system for the detection of melanoma
in dermoscopy images. Clinical findings have concluded that in case of melanoma, the …