Use of 3D-CAPSNET and RNN models for 4D fMRI-based Alzheimer’s Disease Pre-detection
Ali İsmail,
Gonca Gökçe Menekşe Dalveren
Abstract:An early prediction of Alzheimer’s disease (AD) progression can help slow down cognitive decline more effectively. Several studies have been devoted to applying different methods based on convolutional neural networks (CNNs) for automated AD diagnosis using resting-state functional magnetic resonance imaging (rs-fMRI). The methods introduced in these studies encounter two major challenges. First, fMRI datasets suffer from being of small size resulting in overfitting. Second, the 4D information of fMRI sessions… Show more
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