Cutaneous melanoma (CM) is potentially the most dangerous form of skin tumor and causes
90% of skin cancer mortality. A unique collaboration of multi-disciplinary experts from the …

Background Melanoma has one of the fastest rising incidence rates of any cancer. It
accounts for a small percentage of skin cancer cases but is responsible for the majority of …

A unique collaboration of multidisciplinary experts from the European Dermatology Forum,
the European Association of Dermato-Oncology and the European Organization for …

Importance Convolutional neural networks (CNNs) achieve expert-level accuracy in the
diagnosis of pigmented melanocytic lesions. However, the most common types of skin …

Cutaneous melanoma (CM) is potentially the most dangerous form of skin tumour and
causes 90% of skin cancer mortality. A unique collaboration of multi-disciplinary experts …

Background Evolving dermoscopic terminology motivated us to initiate a new consensus.
Objective We sought to establish a dictionary of standardized terms. Methods We reviewed …

This paper presents an approach that combines conventional image processing with deep
learning by fusing the features from the individual techniques. We hypothesize that the two …

Following more than two decades of effort, reflectance confocal microscopy (RCM) imaging
of skin was granted codes for reimbursement by the US Centers for Medicare and Medicaid …

Dermoscopy is a noninvasive tool that can be helpful in the diagnosis of nonpigmented skin
tumors. This is because dermoscopy permits the visualization of key vascular structures that …

This first German evidence-based guideline for cutaneous melanoma was developed under
the auspices of the German Dermatological Society (DDG) and the Dermatologic …