Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease-Reference-Cited by-同舟云学术

Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease

Published:2023-10-27 Issue: Volume:29 Page:34-39
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Sensors, Signal and Image Processing
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Author:

Lin Yihao¹^ORCID,Li Ximeng²^ORCID,Zhang Yan³^ORCID,Tang Jinshan⁴^ORCID

Affiliation:

1. Faculty of Computing, Harbin Institute of technology, China

2. Harbin No.3 High School, China

3. School of Life Science and Technology, Harbin Institute of Technology, Harbin 150001, China., China

4. College of Public Health, George Mason University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3653863.3653865

Reference27 articles.

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2. Jack Albright, Alzheimer’s Disease Neuroimaging Initiative, 2019. Forecasting the progression of Alzheimer’s disease using neural networks and a novel preprocessing algorithm. Alzheimer’s & Dementia: Translational Research & Clinical Interventions 5 (2019), 483–491.

3. Danni Cheng, Manhua Liu, Jianliang Fu, and Yaping Wang. 2017. Classification of MR brain images by combination of multi-CNNs for AD diagnosis. In Ninth international conference on digital image processing (ICDIP 2017), Vol. 10420. SPIE, 875–879.

4. Baskar Duraisamy, Jayanthi Venkatraman Shanmugam, and Jayanthi Annamalai. 2019. Alzheimer disease detection from structural MR images using FCM based weighted probabilistic neural network. Brain imaging and behavior 13 (2019), 87–110.

5. Multimodal fusion-based deep learning network for effective diagnosis of Alzheimer’s disease;Dwivedi Shubham;IEEE MultiMedia,2022