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50
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14 chest pathologies
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[7]
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VDSNet
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ChestX-ray8
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-
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ReLU
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-
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Pulmonary diseases
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[10]
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DualCheXNet
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ChestX-ray14
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169
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-
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ReLU
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-
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14 chest pathologies
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[2]
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CNN
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ChestX-ray8
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5
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1,000–4,000
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ReLU
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40,000
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12 chest pathologies out of 14
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BPNN
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3
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-
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5,000
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CpNN
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2
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-
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1,000
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[8]
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Customized U-Net
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ChestX-ray8
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35
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100–200
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ReLU
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20
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Cardiomegaly
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[47]
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Ensemble of DesnSeNet-121, DenseNet-169, DenseNet-201, Inception-ResNet-v2 Xception, NASNetLarge
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CheXpert
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5
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Sigmoid
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50,000
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Only 5 pathologies: Atelactasis, Cardiomegaly, Pleural, Effusion, and Edema
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[51]
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STN based CNN
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Lung ultrasonography videos
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-
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ReLU
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-
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COVID-19 Pneumonia
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[46]
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Ensemble with AlexNet
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NIH Tuberculosis Chest X-ray dataset [10.31] and Belarus Tuberculosis Portal dataset [10.32]
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-
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-
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ReLU
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-
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Tuberculosis
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[26]
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FHRNet
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ChestX-ray14 dataset
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-
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50
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Sigmoid
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-
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14 chest pathologies
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[20]
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AG-CNN
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ChestX-ray14
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50
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Sigmoid
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-
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14 chest pathologies
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[53]
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preact-ResNet [39_chp7_14]
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ChestX-ray14
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-
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-
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Sigmoid
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-
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8 chest pathologies out of 14
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[70]
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Unified DCNN
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ChestX-ray8
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-
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-
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Sigmoid
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-
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8 chest pathologies out of 14
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[28]
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Ensemble of AlexNet, VGG-16, VGG-19, ResNet-50, ResNet-101 and ResNet-152
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Indiana dataset
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-
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-
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-
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Cardiomegaly, Edema, and Tuberculosis
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[5]
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ChestNet CNN
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ChestX-ray14
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14
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30
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Consolidation
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[49]
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CheXNeXt CNN
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ChestX-ray14
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14 chest pathologies
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[46]
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Customized CNN
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NIH Tuberculosis Chest X-ray, Belarus Tuberculosis
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23
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ReLU
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Tuberculosis
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[61]
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Ensemble of RetinaNet and Mask R-CNN
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Kaggle dataset RSNA
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-
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-
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ReLU
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Pneumonia
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[45]
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DarkCovid-Net
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COVID Chest x-ray Kaggle
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17
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ReLU
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-
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COVID, Normal and Pneumonia
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[65]
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GoogLeNet
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St. Michael’s Hospital chest x-ray
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-
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60
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ReLU
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-
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5 pathologies: Cardiomegaly, Edema, Pleural effusion, pneumothorax, and consolidation
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[35]
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Ensemble of AlexNet and GoogleNet
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NIH Tuberculosis Chest X-ray, Belarus Tuberculosis
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-
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-
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-
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-
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Tuberculosis
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[31]
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ResNet101
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Cohen and Kaggle [3]
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