  Over the past few years, different computer-aided diagnosis (CAD) systems
have been proposed to tackle skin lesion analysis. Most of these systems work
only for dermoscopy images since there is a strong lack of public clinical
images archive available to design them. To fill this gap, we release a skin
lesion benchmark composed of clinical images collected from smartphone devices
and a set of patient clinical data containing up to 22 features. The dataset
consists of 1,373 patients, 1,641 skin lesions, and 2,298 images for six
different diagnostics: three skin diseases and three skin cancers. In total,
58.4% of the skin lesions are biopsy-proven, including 100% of the skin
cancers. By releasing this benchmark, we aim to aid future research and the
development of new tools to assist clinicians to detect skin cancer.
