Table 1 Comparison of model accuracy for different types of training data: real images, artificial noiseless images, and artificial images with noise added as a post-processing filter.
From: CT-based data generation for foreign object detection on a single X-ray projection
Training data, \(S_{train} = 21\) | Accuracy score A |
|---|---|
Real data | \(91.1\% \pm 0.7\%\) |
Noiseless artificial | \(91.8\% \pm 1.3\%\) |
Noisy artificial | \(91.8\% \pm 0.4\% \) |