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Confounder-Aware Visualization of ConvNets
With recent advances in deep learning, neuroimaging studies increasingly rely on convolutional networks (ConvNets) to predict diagnosis based on MR images. To gain a better understanding of how a disease impacts the brain, the studies visualize the salience maps of the ConvNet highlighting voxels wi...
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| Publié dans: | Mach Learn Med Imaging |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7297409/ https://ncbi.nlm.nih.gov/pubmed/32549051 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32692-0_38 |
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