Table 2 The accuracy of testing dataset in CNN based on AlexNet is demonstrated
From: Multimodal MRI-based classification of migraine: using deep learning convolutional neural network
Feature | Data group | Accuracy |
|---|---|---|
ALFF | HC vs. migraine | 89.56% ± 0.24% |
HC vs. MWoA vs. MWA | 87.31% ± 0.26% | |
MWoA vs. MWA | 86.43% ± 0.54% | |
ReHo | HC vs. migraine | 93.42% ± 0.13% |
HC vs. MWoA vs. MWA | 92.66% ± 0.21% | |
MWoA vs. MWA | 87.39% ± 0.27% | |
RFCS | HC vs. migraine | 98.63% ± 0.28% |
HC vs. MWoA vs. MWA | 98.78% ± 0.36% | |
MWoA vs. MWA | 96.87% ± 0.43% |