2022
DOI: 10.1016/j.bspc.2021.103128
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Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs

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Cited by 29 publications
(20 citation statements)
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References 49 publications
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“…Coronavirus disease 2019 (COVID-19) is a novel disease that rapidly spreads and affects the daily patterns of millions of people in the world. [ 1 ]. The infection causes pulmonary complications, such as severe pneumonia, which leads to death in several cases [ 1 , 2 ].…”
Section: Introductionmentioning
confidence: 99%
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“…Coronavirus disease 2019 (COVID-19) is a novel disease that rapidly spreads and affects the daily patterns of millions of people in the world. [ 1 ]. The infection causes pulmonary complications, such as severe pneumonia, which leads to death in several cases [ 1 , 2 ].…”
Section: Introductionmentioning
confidence: 99%
“…[ 1 ]. The infection causes pulmonary complications, such as severe pneumonia, which leads to death in several cases [ 1 , 2 ]. The possible containment of this virus requires quick detection to ensure that the exposed person can be isolated as quickly as possible to mitigate the spread of the disease because it is highly contagious.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“… TL? Scarpiniti, Sarv Ahrabi [ 68 ] A histogram-based 90.1 90.3 90.4 91 No No Perumal, Narayanan [ 69 ] CNN 92.3 91.5 92.6 93 No No Uemura, Näppi [ 70 ] GAN 95.1 95.4 96 95.3 No No Zhao, Xu [ 71 ] 3D V-Net 97.4 97.7 97.2 98.7 No No Hu, Huang [ 72 ] DNN 97.2 97.1 98.2 99 No No Toğaçar, Muzoğlu [ 73 ] CNN 97.6 97.3 98.1 99.1 No No Castiglione, Vijayakumar [ 74 ] ADECO-CNN 98.2 98.6 98.4 99 No Yes …”
Section: Resultsmentioning
confidence: 99%
“…The paired sample t-test is a common statistical hypothesis test used to check the differences between the results of several models and their datasets [27] . The performance of the proposed models was tested using t-test at priory level of 0.05 ( p -value < 0.05) [27] , [28] . The random forest algorithm with the SHAP library in Python programming language was used to determine the importance of the features in the models.…”
Section: Performance Testing Of the Developed Modelmentioning
confidence: 99%