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 (...
Main Authors: | , , , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
BioMed Central
2022
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Online Access: | https://hdl.handle.net/1721.1/132063.2 |
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