FC-Ensemble: An Ensemble Data Enhancement Method to Increase the Performance of Analysis the Staging of Alzheimer's Disease Based on Brain MRI
Pages 417 - 423
Abstract
Alzheimer's disease is a primary degenerative encephalopathy that primarily affects the elderly and pre-elderly population. It is characterized by persistent anxiety-like activity in the brain, making its diagnosis a critical and challenging task. To accurately diagnose Alzheimer's disease, MRI has been proven to be a highly effective imaging method. Many studies have utilized MRI data to diagnose this disease, but most have focused on optimizing models for improved performance. However, there is a lack of research on enhancing the MRI data itself to improve the diagnostic value. Therefore, we propose a novel data enhancement method that not only enhances the classification performance of the models, but also accelerates its convergence.
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Index Terms
- FC-Ensemble: An Ensemble Data Enhancement Method to Increase the Performance of Analysis the Staging of Alzheimer's Disease Based on Brain MRI
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Published In
October 2023
1394 pages
ISBN:9798400708138
DOI:10.1145/3644116
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 05 April 2024
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- Refereed limited
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- Liaoning Province Applied Basic Research Program (Joint Program)
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ISAIMS 2023
ISAIMS 2023: 2023 4th International Symposium on Artificial Intelligence for Medicine Science
October 20 - 22, 2023
Chengdu, China
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Overall Acceptance Rate 53 of 112 submissions, 47%
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