Article
Accurate brain age prediction with lightweight deep neural networks
2019-12-18
Abstract excerpt
Deep learning has huge potential for accurate disease prediction with neuroimaging data, but the prediction performance is often limited by training-dataset size and computing memory requirements. To address this, we propose a deep convolutional neural network model, Simple Fully Convolutional Network (SFCN), for accurate prediction of brain age using T1-weighted structural MRI data. Compared with other popular de...
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Identifiers and source
- Literature Corpus work
- 1c040319-be05-5b58-883a-e934be713a5e
- DOI
- 10.1101/2019.12.17.879346
