Author: Asmaa Abbas; Mohammed Abdelsamea; Mohamed Gaber
Title: Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network Document date: 2020_4_1
ID: i5jk0407_19
Snippet: We plot the learning curve accuracy and loss between training and test as shown in 148 Fig 3. Also, the Area Under the receiver curve (AUC) was computed as shown in Fig 4. 149 To demonstrate the robustness of DeTraC-ResNet18 in the classification of . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: We plot the learning curve accuracy and loss between training and test as shown in 148 Fig 3. Also, the Area Under the receiver curve (AUC) was computed as shown in Fig 4. 149 To demonstrate the robustness of DeTraC-ResNet18 in the classification of . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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