Research Article

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

Figure 11

Original dataset 80%–20% confusion matrix of the 8 models for a support of 48, 279, and 254 for COVID-19, normal, and viral pneumonia classes, respectively. (a) Inception-ResNetV2. (b) Xception. (c) VGG16. (d) ResNet50V2. (e) InceptionV3. (f) MobileNetV2. (g) DenseNet121. (h) ResNet101V2.
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