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Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays
Since December 2019, the novel COVID-19’s spread rate is exponential, and AI-driven tools are used to prevent further spreading [1]. They can help predict, screen, and diagnose COVID-19 positive cases. Within this scope, imaging with Computed Tomography (CT) scans and Chest X-rays (CXRs) are widely...
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| 出版年: | Appl Intell (Dordr) |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer US
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7646727/ https://ncbi.nlm.nih.gov/pubmed/34764562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10489-020-01943-6 |
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