Fig. 1: ROC curve for determining malignancy using the NIA dataset and SNU test dataset.
From: Planet-wide performance of a skin disease AI algorithm validated in Korea
The performance of the algorithm, calculated based on Top-1 or Top-3 predictions, is drawn separately in the figure. a TEST = Benign and malignant tumors in the NIA dataset (51,038 images, 33 diseases). b TEST = SNU Test Dataset (240 images, 80 diseases); The results from six continents are based on 61,066 assessments collected from 138 countries. Country-level results are presented only for the top 10 countries with the highest number of responses. Detailed data by country can be found in Supplementary Table 3. AF Africa, AS Asia, BR Brazil, DE Germany, ES Spain, EU Europe, FR France, HU Hungary, IT Italy, KR South Korea, NA North America, OC Oceania, PL Poland, RU Russia, SA South America, US United States.
