Computational Intelligence and Healthcare Informatics. Группа авторов
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Название: Computational Intelligence and Healthcare Informatics

Автор: Группа авторов

Издательство: John Wiley & Sons Limited

Жанр: Программы

Серия:

isbn: 9781119818694

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СКАЧАТЬ - 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] - - - - COVID-19–induced pneumonia
Ref. Atel Card Effu Infi Mass Nodu Pne1 Pnet Cons Edem Emph Fibr PT Hern
[10] 0.784 0.888 0.831 0.705 0.838 0.796 0.727 0.876 0.746 0.852 0.942 0.837 0.796 0.912
[23] 0.795 0.887 0.875 0.703 0.835 0.716 0.742 0.863 0.786 0.892 0.875 0.756 0.774 0.836
[70] 0.716 0.807 0.784 0.609 0.706 0.671 0.633 0.806 0.708 0.835 СКАЧАТЬ