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Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learning

2020-07-25

Abstract excerpt

<h4>Background</h4> Generative adversarial networks (GAN) can generate images of improved quality but their ability to augment image-based classification tasks is not fully explored. <h4>Purpose</h4> We evaluated if a modified GAN can learn from MRI scans of multiple magnetic field strength to enhance Alzheimer’s disease (AD) classification performance. <h4>Materials and methods</h4> T1-weighted brain MRI scans fr...

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Literature Corpus work
f4cd5548-0ad4-574d-9de1-9089b925f9b8
DOI
10.1101/2020.07.22.20159814
Open publication

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Enhancing MR imaging driven Alzheimer’s disease classification performance using generative adversarial learningDOI 10.1101/2020.07.22.20159814
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