Abstract
Alzheimer’s disease is a degenerative disease of the central nervous system that occurs primarily in old age. Magnetic resonance imaging (MRI) is the most commonly used type of brain medical image in clinical practice to determine the period of Alzheimer’s disease patients. Inspired by clinical practice, we propose using a 2D reparameterization CNN architecture to classify Alzheimer’s disease. The proposed method markedly improves the performance of Alzheimer’s disease classification in less time. By reparametrizing the attention mechanism, the proposed method achieves an AUC of 0.9849 and an ACC of 0.9625.
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Acknowledgements
This study was partially supported by the Science and Technology Department of Xinjiang Uyghur Autonomous Region Fund Project (2020E0234) and the Department of Education, Xinjiang Uygur Autonomous Region (CN) Postgraduate Research and Innovation Project (XJ2020G072, XJ2020G073).
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Zhou, Z., Yu, L., Tian, S. et al. Diagnosis of Alzheimer’s disease using 2D dynamic magnetic resonance imaging. J Ambient Intell Human Comput 14, 10153–10163 (2023). https://doi.org/10.1007/s12652-021-03678-9
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DOI: https://doi.org/10.1007/s12652-021-03678-9