Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-06934-2
Abstract: The purpose of this article was to perform a systematic review and meta-analysis regarding the diagnostic test accuracy of chest CT for detecting coronavirus disease 2019 (COVID-19). PubMed, Embase, Web of Science, and CNKI were… read more here.
Keywords: review meta; systematic review; accuracy; sensitivity ... See more keywords
A deep learning-based framework for detecting COVID-19 patients using chest X-rays
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Systems"
DOI: 10.1007/s00530-022-00917-7
Abstract: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused outbreaks of new coronavirus disease (COVID-19) around the world. Rapid and accurate detection of COVID-19 coronavirus is an important step in limiting the spread of the… read more here.
Keywords: deep learning; chest rays; covid patients; detecting covid ... See more keywords
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia
Sign Up to like & getrecommendations! Published in 2022 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2022.104534
Abstract: Because of COVID-19's effect on pulmonary tissues, Chest X-ray(CXR) and Computed Tomography (CT) images have become the preferred imaging modality for detecting COVID-19 infections at the early diagnosis stage when the symptoms are not specific.… read more here.
Keywords: chest ray; resnet; image classification; classification ... See more keywords
Better Tech for Detecting COVID-19
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DOI: 10.1109/mpuls.2022.3175345
Abstract: Earlier, Better Detection of SARS-CoV-2 infection and exposure is a necessary part of battling COVID-19, and many research groups are working on new methods to do it. read more here.
Keywords: tech detecting; detecting covid; better tech;
Detecting COVID-19 in Chest X-Ray Images via MCFF-Net
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2021/3604900
Abstract: COVID-19 is a respiratory disease caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2). Due to the rapid spread of COVID-19 around the world, the number of COVID-19 cases continues to increase, and lots of countries… read more here.
Keywords: mcff net; covid; chest ray; covid chest ... See more keywords
Application of Geographic Information System in Monitoring and Detecting the COVID-19 Outbreak
Sign Up to like & getrecommendations! Published in 2020 at "Iranian Journal of Public Health"
DOI: 10.18502/ijph.v49is1.3679
Abstract: This article is a Letter to the Editor and does not include an Abstract. read more here.
Keywords: application geographic; geographic information; system monitoring; detecting covid ... See more keywords
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.980338
Abstract: COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused human suffering and the death of uncountable people.… read more here.
Keywords: transfer learning; detecting covid; infection; ray ... See more keywords
Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests
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DOI: 10.3390/diagnostics13081466
Abstract: This study introduces a new method for identifying COVID-19 infections using blood test data as part of an anomaly detection problem by combining the kernel principal component analysis (KPCA) and one-class support vector machine (OCSVM).… read more here.
Keywords: semi supervised; detecting covid; kpca based; blood test ... See more keywords