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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%