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Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks
Deep learning with Convolutional Neural Networks has shown great promise in image-based classification and enhancement but is often unsuitable for predictive modeling using features without spatial correlations. We present a feature representation approach termed REFINED (REpresentation of Features...
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| Publié dans: | Nat Commun |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7463019/ https://ncbi.nlm.nih.gov/pubmed/32873806 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-18197-y |
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