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 …

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

Accurate skin lesion segmentation is important for identification and classification through
computational methods. However, when performed by dermatologists, the results of clinical …

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

Accurate detection of the borders of skin lesions is a vital first step for computer aided
diagnostic systems. This paper presents a novel automatic approach to segmentation of skin …

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 …

Dermoscopy, also known as epiluminescence microscopy, is a major imaging technique
used in the assessment of melanoma and other diseases of skin. In this study we propose a …

Skin lesion border irregularity is considered an important clinical feature for the early
diagnosis of melanoma, representing the B feature in the ABCD rule. In this article we …

In a computerized image analysis environment, the irregularity of a lesion border has been
used to differentiate between malignant melanoma and other pigmented skin lesions. The …