MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images
Table 9
Paired statistical comparison of explanation faithfulness using per-image AUCs on the common subset (intersection by index, n = 369). We report the mean difference (MaxGRNet minus baseline model) and p-values from paired t-test and Wilcoxon signed-rank test. A positive
indicates that MaxGRNet is better for Insertion and (1-Deletion). GaussianBlur baseline (k = 51,
=8.0; 50 steps).