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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...

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Detalles Bibliográficos
Autores principales:	D’souza, Rhett N., Huang, Po-Yao, Yeh, Fang-Cheng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2020
Materias:	Article
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

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