Table 3 The accuracy of testing dataset in CNN with Inception module is demonstrated below
From: Multimodal MRI-based classification of migraine: using deep learning convolutional neural network
Feature | Data group | Accuracy |
|---|---|---|
ALFF | HC vs. migraine | 92.38% ± 0.14% |
HC vs. MWoA vs. MWA | 92.31% ± 0.15% | |
MWoA vs. MWA | 89.77% ± 0.39% | |
ReHo | HC vs. migraine | 95.07% ± 0.19% |
HC vs. MWoA vs. MWA | 94.81% ± 0.35% | |
MWoA vs. MWA | 93.44% ± 0.20% | |
RFCS | HC vs. migraine | 99.25% ± 0.36% |
HC vs. MWoA vs. MWA | 98.69% ± 0.29% | |
MWoA vs. MWA | 96.13% ± 0.22% |