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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463019/ https://www.ncbi.nlm.nih.gov/pubmed/32873806 http://dx.doi.org/10.1038/s41467-020-18197-y |