Fig. 4: Label efficiency in exemplary applications.
From: A foundation model for generalizable disease detection from retinal images
Label efficiency measures the performance with different fractions of training data to understand the amount of data required to achieve a target performance level. The dashed grey lines highlight the difference in training data between RETFound and the most competitive comparison model. RETFound performs better than the comparison groups with 10% of training data in 3-year incidence prediction of heart failure and myocardial infarction with modality of CFP and comparable to other groups with 45% of data in diabetic retinopathy MESSIDOR-2 and 50% of data on IDRID. The 95% CI of AUROC are plotted in colour bands and the centre points of the bands indicate the mean value of AUROC.
