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 increase of interest in the computer-aided diagnosis of melanoma. Automated border detection is one of the most important steps in this procedure, because the accuracy of the… (More)
We recently described an in vivo reflectance confocal microscopy (RCM) method and our aim was to evaluate a possible additive value of this type of analysis in the management of melanocytic lesions. In two referral centers (Sydney and Modena), lesions (203 nevi and 123 melanomas (MMs) with a median Breslow thickness of 0.54 mm) were excised on the basis of… (More)
BACKGROUND Patients with early stage melanoma have high survival rates but require long-term follow-up to detect recurrences and/or new primary tumours. Shared care between melanoma specialists and general practitioners is an increasingly important approach to meeting the needs of a growing population of melanoma survivors. METHODS In-depth qualitative… (More)
In previous research, a watershed-based algorithm was shown to be useful for automatic lesion segmentation in dermoscopy images, and was tested on a set of 100 benign and malignant melanoma images with the average of three sets of dermatologist-drawn borders used as the ground truth, resulting in an overall error of 15.98%. In this study, to reduce the… (More)
Background: Non pigmented eccrine poroma is a benign tumor that can have dermoscopic features mimicking malign neoplasias. The characteristic vascular pattern of this tumor hasn't been established. We found a scarcely reported vas-cular pattern, which can be useful to distinguish this tumor from malignant ones and propose a new nomenclature to these vessels… (More)
There is now an inexpensive first-line approach for diagnosing pigmented skin lesions.