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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2017 | 1 |
2021 | 3 |
2024 | 0 |
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4 results
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Page 1
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts.
Inf Sci (N Y). 2021 Sep;570:124-143. doi: 10.1016/j.ins.2021.04.021. Epub 2021 Apr 8.
Inf Sci (N Y). 2021.
PMID: 33846657
Free PMC article.
Feature selection by optimizing a lower bound of conditional mutual information.
Peng H, Fan Y.
Peng H, et al.
Inf Sci (N Y). 2017 Dec;418-419:652-667. doi: 10.1016/j.ins.2017.08.036. Epub 2017 Aug 9.
Inf Sci (N Y). 2017.
PMID: 30283157
Free PMC article.
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RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions.
Ding W, Abdel-Basset M, Hawash H.
Ding W, et al.
Inf Sci (N Y). 2021 Nov;578:559-573. doi: 10.1016/j.ins.2021.07.059. Epub 2021 Jul 21.
Inf Sci (N Y). 2021.
PMID: 34305162
Free PMC article.
The segmentation of COVID-19 lesions from computed tomography (CT) scans is crucial to develop an efficient automated diagnosis system. Deep learning (DL) has shown success in different segmentation tasks. ...
The segmentation of COVID-19 lesions from computed tomography (CT) scans is crucial to develop an efficient automated diagnosis syste …
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CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray images.
Dixit A, Mani A, Bansal R.
Dixit A, et al.
Inf Sci (N Y). 2021 Sep;571:676-692. doi: 10.1016/j.ins.2021.03.062. Epub 2021 Apr 6.
Inf Sci (N Y). 2021.
PMID: 33840820
Free PMC article.
For Covid-19 suspected cases, it is critical to diagnose them accurately and rapidly so that they can be isolated and provided with required medical care. A self-learning automation model will be helpful to diagnose the COVID-19 suspected individual using chest X-rays. ...
For Covid-19 suspected cases, it is critical to diagnose them accurately and rapidly so that they can be isolated and provided with required …
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