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 …

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

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 …

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 …

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 …

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 …

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 …

Accurate extraction of lesion borders is a critical step in analysing dermoscopic skin lesion
images. In this paper, we consider the problems of poor contrast and lack of colour …

Melanoma incidence rates have been increasing for the past three decades. Most people
diagnosed with non-melanoma skin cancer have higher chances to cure, but melanoma …

Background Dermoscopy is one of the major imaging modalities used in the diagnosis of
melanoma and other pigmented skin lesions. Automated assessment tools for dermoscopy …