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Table 2 Performances of the model in diagnosing myelopathy

From: Deep learning algorithm to evaluate cervical spondylotic myelopathy using lateral cervical spine radiograph

Model details Input image size 224 × 224
Data augmentation (used the zoom, width, and shear function)
Binary classification with sigmoid activation
Adam optimizer (the initial learning rate of 10−5)
Batch size 8
Performance Training accuracy: 92.4%
Test accuracy: 87.1%
Test recall: 86.4%
Test precision: 88.9%
Test AUC: 0.864 with 95% CI [0.780–0.949]