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Three-round learning strategy based on 3D Deep Convolutional GANs for Alzheimer’s disease staging

2022-08-01

Abstract excerpt

The accurate diagnosis of Alzheimer's disease (AD) and its early stage is essential for early dementia detection and treatment planning. For 2D Convolutional neural networks (CNNs), the networks pre-trained on ImageNet always outperformed the models trained from scratch. 3D CNN is easily to lead to an overfitting problem due to the lack of 3D neuroimage datasets. To alleviate the overfitting caused by small to med...

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Literature Corpus work
368d5803-5548-58d7-8ca1-9b467cfc6bb4
DOI
10.21203/rs.3.rs-1903862/v1
Open publication

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Three-round learning strategy based on 3D Deep Convolutional GANs for Alzheimer’s disease stagingDOI 10.21203/rs.3.rs-1903862/v1
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