Abstract
Alzheimer’s disease (AD) is the most common age-related dementia, which significantly affects an individual’s daily life and impact socioeconomics. It remains a challenge to identify the individuals at risk of dementia for precise management. Brain MRI offers a non-invasive biomarker to detect brain aging. Previous evidence shows that the structural brain network generated from the diffusion MRI promises to classify dementia accurately based on deep learning models. However, the limited availability of diffusion MRI challenges the model training of deep learning. We propose the BrainNetGAN, a variant of the generative adversarial network, to efficiently augment the structural brain networks for dementia classifying tasks. The BrainNetGAN model is trained to generate fake brain connectivity matrices, which are expected to reflect the latent distribution and topological features of the real brain network data. Numerical results show that the BrainNetGAN outperforms the benchmarking algorithms in augmenting the brain networks for AD classification tasks.
Original language | English |
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Title of host publication | Deep Generative Models, and Data Augmentation, Labelling, and Imperfections |
Subtitle of host publication | First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Proceedings |
Editors | Sandy Engelhardt, Ilkay Oksuz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Nguyen, Raphael Sznitman, Yuan Xue |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 103-111 |
Number of pages | 9 |
Edition | 1 |
ISBN (Electronic) | 9783030882105 |
ISBN (Print) | 9783030882099 |
DOIs | |
Publication status | Published - 2021 |
Event | 24th International Conference on Medical Image Computing and Computer Assisted Intervention - Virtual, Strasbourg, France Duration: 27 Sept 2021 → 1 Oct 2021 Conference number: 24 https://miccai2021.org/en/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 13003 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 24th International Conference on Medical Image Computing and Computer Assisted Intervention |
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Abbreviated title | MICCAI 2021 |
Country/Territory | France |
City | Strasbourg |
Period | 27/09/21 → 1/10/21 |
Internet address |
Keywords
- Brain connectivity
- Classification
- Data augmentation
- Generative adversarial network
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science