Details

Autor(en) / Beteiligte

• Pacheco, Andre G.C.
• Lima, Gustavo R.
• Salomão, Amanda S.
• Krohling, Breno
• Biral, Igor P.
• de Angelo, Gabriel G.
• Alves Jr, Fábio C.R.
• Esgario, José G.M.
• Simora, Alana C.
• Castro, Pedro B.C.
• Rodrigues, Felipe B.
• Frasson, Patricia H.L.
• Krohling, Renato A.
• Knidel, Helder
• Santos, Maria C.S.
• do Espírito Santo, Rachel B.
• Macedo, Telma L.S.G.
• Canuto, Tania R.P.
• de Barros, Luíz F.S.

Titel

PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

Ist Teil von

• Data in brief, 2020-10, Vol.32, p.106221-106221, Article 106221

Ort / Verlag

Netherlands: Elsevier Inc

Erscheinungsjahr

2020

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.