COVID-19 Diagnosis Using an Enhanced Inception-ResNetV2 Deep Learning Model in CXR Images

Figure 12

Large dataset (new release) 70%-20%-10% confusion matrix of the 8 models for a support of 384, 1000, and 132 for COVID-19, normal, and viral classes, respectively. (a) Inception-ResNetV2. (b) Xception. (c) VGG16. (d) ResNet50V2. (e) InceptionV3. (f) MobileNetV2. (g) DenseNet121. (h) ResNet101V2.

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