Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks
Neuroimaging modality fusion in Alzheimer’s classification using convolutional neural networks
Automated methods for Alzheimer’s disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease. Machine learning, and more specifically deep neural networks, have been shown to have great efficacy in this domain. These algorithms often use neurological imaging data such as MRI …