Table 3 Performances for combinations of images and masks. All experiments are based on ResNet-50 with MedCLIP. Results are reported as mean ± standard deviation (SD).
From: Deep learning based dual stage model for accurate nasogastric tube positioning in chest radiographs
Methods | Macro F1-score | B-ACC | AUC-ROC | AUC-PR |
|---|---|---|---|---|
x ,mean ± SD | 96.09±1.02 | 95.12±2.17 | 98.17±1.04 | 97.80±0.61 |
\(x + m^l\) , mean ± SD | 97.83±1.09 | 98.83±0.66 | 99.96±0.03 | 99.89±0.11 |
\(x + m^l + m^t\) , mean ± SD | 96.75±1.31 | 97.26±0.31 | 99.72±0.14 | 99.30±0.33 |
