Fig. 5: Screening performance of the FairerOPTH on the MixNAF dataset.
From: Fairer AI in ophthalmology via implicit fairness learning for mitigating sexism and ageism
a The FairerOPTH predicts 20 fundus features and 16 ophthalmic diseases from input NAF images. b Comparison of FairerOPTH with the baseline model and state-of-the-art multi-label classification methods using mAP, specificity, sensitivity, and AUC (area under the curve) evaluation metrics. c ROC (Receiver Operating Characteristics) curves for 16 diseases of baseline model and FairerOPTH. Source data are provided as a Source Data file.
