Ontology highlight
ABSTRACT:
SUBMITTER: Pacheco AGC
PROVIDER: S-EPMC7479321 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Pacheco Andre G C AGC Lima Gustavo R GR Salomão Amanda S AS Krohling Breno B Biral Igor P IP de Angelo Gabriel G GG Alves Fábio C R FCR Esgario José G M JGM Simora Alana C AC Castro Pedro B C PBC Rodrigues Felipe B FB Frasson Patricia H L PHL Krohling Renato A RA Knidel Helder H Santos Maria C S MCS do Espírito Santo Rachel B RB Macedo Telma L S G TLSG Canuto Tania R P TRP de Barros Luíz F S LFS
Data in brief 20200825
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 ...[more]