From:  A comparative study of deep learning-based retinal image registration methods

 Overall statistical comparison of MLE across all methods (n = 134).

ComparisonTestStatisticRaw
P-value
Bonferroni P-valueMean difference
(A–B)
Friedmanχ²(2)134.372 × 10–16
RetinaRegNet vs EyeLinerWilcoxon V26533 × 10–51 × 10–4 ***−0.626
RetinaRegNet vs GeoFormerWilcoxon V1988 × 10–222 × 10–21 ***−3.050
EyeLiner vs GeoFormerWilcoxon V5441 × 10–183 × 10–18 ***−2.424

Asterisks denote Bonferroni-adjusted significance: * P < 0.05, ** P < 0.01, *** P < 0.001.