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Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
(Aim) COVID-19 is an infectious disease spreading to the world this year. In this study, we plan to develop an artificial intelligence based tool to diagnose on chest CT images. (Method) On one hand, we extract features from a self-created convolutional neural network (CNN) to learn individual image...
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| I publikationen: | Inf Fusion |
|---|---|
| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Elsevier B.V.
2021
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7544601/ https://ncbi.nlm.nih.gov/pubmed/33052196 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.inffus.2020.10.004 |
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