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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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| 出版年: | Inf Fusion |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier B.V.
2021
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| 主題: | |
| オンライン･アクセス: | 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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