학술논문
PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones
Document Type
article
Author
Andre G.C. Pacheco; Gustavo R. Lima; Amanda S. Salomão; Breno Krohling; Igor P. Biral; Gabriel G. de Angelo; Fábio C.R. Alves Jr; José G.M. Esgario; Alana C. Simora; Pedro B.C. Castro; Felipe B. Rodrigues; Patricia H.L. Frasson; Renato A. Krohling; Helder Knidel; Maria C.S. Santos; Rachel B. do Espírito Santo; Telma L.S.G. Macedo; Tania R.P. Canuto; Luíz F.S. de Barros
Source
Data in Brief, Vol 32, Iss , Pp 106221- (2020)
Subject
Language
English
ISSN
2352-3409
Abstract
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 evaluate the aforementioned CAD systems. 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 21 features. The dataset consists of 1373 patients, 1641 skin lesions, and 2298 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 support future research and the development of new tools to assist clinicians to detect skin cancer.