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ECOVNet: a highly effective ensemble based deep learning model for detecting COVID-19
The goal of this research is to develop and implement a highly effective deep learning model for detecting COVID-19. To achieve this goal, in this paper, we propose an ensemble of Convolutional Neural Network (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 from chest X-rays. To make t...
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| I publikationen: | PeerJ Comput Sci |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
PeerJ Inc.
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8176542/ https://ncbi.nlm.nih.gov/pubmed/34141883 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.551 |
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