Computational Intelligence and Healthcare Informatics. Группа авторов

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Computational Intelligence and Healthcare Informatics - Группа авторов


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