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A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect COVID-19. This study proposed a novel deep learning model that can diagnose COVID-19 on chest CT more accurately and swiftly....
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| Udgivet i: | Mach Vis Appl |
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| Main Authors: | , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer Berlin Heidelberg
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7609373/ https://ncbi.nlm.nih.gov/pubmed/33169050 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00138-020-01128-8 |
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