Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

MaxGRNet: A multi-axis vision transformer with improved generalization for eye disease classification using explainable AI with insertion-deletion operations on fundus images

Table 10

Overall statistical significance summary for MaxGRNet vs baselines on DS1. Prediction: 5-fold paired tests with Holm correction. Explainability: per-image paired tests on common test images (GaussianBlur baseline, 50 steps; correct-only protocol), using Insertion AUC and 1–Deletion AUC.

Table 10

doi: https://doi.org/10.1371/journal.pone.0346329.t010