CrossViT Wide Residual Squeeze-and-Excitation Network for Alzheimer’s disease classification with self attention ProGAN data augmentation
Author:
Affiliation:
1. Multimedia, InfoRmation systems and Advanced Computing Laboratory, MIRACL University of Sfax Tunisia, Sfax, Tunisia
2. Faculty of Economics and Management of Sfax, FSEG Sfax, University of Sfax Tunisia, Sfax, Tunisia
Abstract
Publisher
IOS Press
Subject
General Medicine
Reference34 articles.
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3. M. Alshammari and M. Mezher, A modified convolutional neural networks for MRI-based images for detection and stage classification of alzheimer disease, In 2021 National Computing Colleges Conference (NCCC), IEEE, Mar. 2021.
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5. Y. Fu, L. Xue, Y. Liao, L. Chen, M. Niu, H. Zhang, M. Tian and C. Zhuo, Cross-modality generation of amyloid PET from FDG PET for alzheimer’s disease diagnosis, In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, Dec. 2021.
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1. Efficient multimodel method based on transformers and CoAtNet for Alzheimer's diagnosis;Digital Signal Processing;2023-11
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