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

 Statistical comparison of MLE for Class S images (n = 71).

ComparisonTestStatisticRaw
P-value
Bonferroni
P-value
Mean Difference
(A–B)
Friedmanχ²(2)63.5772 × 10–14
RetinaRegNet vs EyeLinerWilcoxon V6402 × 10–48 × 10–4 ***−0.204
RetinaRegNet vs GeoFormerWilcoxon V512 × 10–126 × 10–12 ***−0.729
EyeLiner vs GeoFormerWilcoxon V3398 × 10–82 × 10–7 ***−0.524

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