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. 2021 May 17;17(1):32–40. doi: 10.4244/EIJ-D-20-00570

Table 3. Diagnostic performance of DeepDiscern lesion detection DNN.

Lesion type Precision rate Recall rate F1 score
Stenosis 0.769 0.901 0.829
Total occlusion 0.757 0.871 0.810
Calcification 0.751 0.862 0.802
Thrombus 0.742 0.925 0.823
Dissection 0.790 0.926 0.854
DeepDiscern achieved an average recall of 89.7% for the five lesion types, namely, stenosis, total occlusion, calcification, thrombus and dissection (λd= 0.5).