SFNet fuses a 3D DenseNet with a global Fourier filter module and multi-scale attention to classify Alzheimer's disease from structural MRI, reporting 95.1% AD vs CN accuracy on ADNI.
Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease[J]
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SFNet: A Spatial-Frequency Domain Deep Learning Network for Efficient Alzheimer's Disease Diagnosis
SFNet fuses a 3D DenseNet with a global Fourier filter module and multi-scale attention to classify Alzheimer's disease from structural MRI, reporting 95.1% AD vs CN accuracy on ADNI.