Table 2 Classification metrics of HTNet with ultrasound images as input.
From: Deep learning to diagnose Hashimoto’s thyroiditis from sonographic images
Classification metrics | Internal-testing set 1 (n = 4303) | Internal-testing set 2 (n = 185) | External-testing set (n = 563) |
|---|---|---|---|
Accuracy (95% CI) | 0.832 (0.821–0.843) | 0.832 (0.771–0.883) | 0.821 (0.786–0.851) |
Sensitivity (95% CI) | 0.826 (0.803–0.847) | 0.846 (0.719–0.931) | 0.842 (0.773–0.897) |
Specificity (95% CI) | 0.835 (0.821–0.848) | 0.827 (0.752–0.887) | 0.813 (0.772–0.849) |
