Table 6 Comparative study of previous ensembles for pulmonary diseases detection using Chest X-Ray images
From: Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning
References | Model | Clases | ACC (%) |
|---|---|---|---|
[42] | Ensemble-CNNs (ResneXt50, DenseNet161, and InceptionV3) | 3, 5 | 81, 88 |
[43] | Ensemble1-CNNs( VGG16 and DenseNet201), Ensemble2-CNNs (VGG16 and ResNet152V2) | 3, 2 | 99, 96 |
[44] | Ensemble-CNNs (Resnet50V2, DenseNet201, and InceptionV3) | 2 | 91 |
[7] | Decision-Tree-ensemble (ResNet18) | 4 | 92 |
[45] | Ensemble-CNNs (InceptionResnet-V2, DenseNet121, and InceptionV3) | 2 | 94 |
Our stacking ensemble | Ensemble-CNNs (VGG19, VGG16, ResNet101V2, DenseNet121, CheXnet, and InceptionV3) | 4 | 99 |
Our voting ensemble | 98 |