Table 7 Performance metrics of the proposed model with 95% confidence intervals estimated via bootstrapping (N=1000). The confidence intervals indicate the statistical reliability of the reported metrics on the dataset.

From: Improved pulmonary embolism detection in CT pulmonary angiogram scans with hybrid vision transformers and deep learning techniques

Metric

Mean

Confidence Interval 95%

Acc

97.80%

97.20% - 98.30%

Pre

98.71%

98.20% - 99.10%

Rec

96.33%

95.70% - 96.90%

F1-score

96.81%

96.20% - 97.40%

AUROC

0.990

0.986 - 0.993

MCC

0.950

0.930 - 0.970