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Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning
Recently, deep-learning-based approaches have been proposed for the classification of neuroimaging data related to Alzheimer’s disease (AD), and significant progress has been made. However, end-to-end learning that is capable of maximizing the impact of deep learning has yet to receive much attentio...
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| Veröffentlicht in: | Sci Rep |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6890708/ https://ncbi.nlm.nih.gov/pubmed/31796817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-54548-6 |
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