A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples

Bin Lu, Hui-Xian Li, Zhi-Kai Chang, Le Li, Ning-Xuan Chen, Zhi-Chen Zhu, Hui-Xia Zhou, Xue-Ying Li, Yu-Wei Wang, Shi-Xian Cui, Zhao-Yu Deng, Zhen Fan, Hong Yang, Xiao Chen, Paul M. Thompson, Francisco Xavier Castellanos & Chao-Gan Yan
Abstract Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimer’s disease (AD), based on magnetic resonance imaging (MRI). Many machine learning algorithms to detect AD have been trained using limited training data, meaning they often generalize poorly when applied to scans from previously unseen scanners/populations. Therefore, we built a practical brain MRI-based AD diagnostic classifier using deep learning/transfer learning on a dataset of unprecedented size...
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