ISIC - Customer Case Study

ISIC and Centaur Labs designed a medical image classification task for ISIC’s archive of over 11,000 dermoscopic skin lesion images. Across three labeling tasks including malignancy classification and lesion recognition, Centaur collected over half a million opinions from its network of experts. Recent research published in the Lancet assessed how accurate board-certified experts with 10+ years experience were at this multi-class skin-lesion labeling task. The performance of the Centaur’s network without any experience exclusion criteria was more accurate (78.1%, p<0.001, vs 74.7%) than those physicians.