Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs

Abstract

Graphical abstract

Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models

“…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 ].…”

“…[ 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.…”

“…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. Reverse transcription-polymerase chain reaction (RT-PCR) [ 1 ] is the standard method used to detect COVID-19; in this method, sputum or nasopharyngeal swab is tested for the presence of the viral RNA. RT-PCR has the following limitations: the long time required to produce results, limited or lack of test materials in medical centers and hospitals [ 2 ], and relatively low sensitivity; this condition is not conducive to the main objective of detection of rapid positive samples for immediate isolation [ 3 ].…”

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain

“… 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 …”

COVID-19 diagnosis from routine blood tests using artificial intelligence techniques

“…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.…”