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Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size
Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in specific application domains, particularly medical imaging, and consequently leading to overfitting problems. This “Small Data” challenge may need a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972775/ https://www.ncbi.nlm.nih.gov/pubmed/31965034 http://dx.doi.org/10.1038/s41598-020-57866-2 |