Malignant melanoma and basal cell carcinoma are common skin tumours. For skin lesion
classification it is necessary to determine and calculate different attributes such as exact …

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 …

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

The skin cancer was analyzed by dermoscopy helpful for dermatologists. The classification
of melanoma and carcinoma such as basal cell, squamous cell, and merkel cell carcinomas …

Background: With advances in medical imaging systems, digital dermoscopy has become
one of the major imaging modalities in the analysis of skin lesions. Thus, automated …

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 …

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 …

Background/Purpose Computer‐aided design (CAD) methods are highly valuable for the
analysis of skin lesions using digital dermoscopy due to low rate of diagnostic accuracy of …

Background: 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 …

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 …