Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning
Abstract Background Generative adversarial networks (GAN) can produce images of improved quality but their ability to augment image-based classification is not fully explored. We evaluated if a modified GAN can learn from magnetic resonance imaging (MRI) scans of multiple magnetic field strengths to...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central,
2021-09-20T17:41:45Z.
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| Subjects: | |
| Online Access: | Get fulltext |