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. 2021 Jun 16;8:670502. doi: 10.3389/fcvm.2021.670502

Table 3.

Comparison of our method with other state-of-the-art segmentation methods published previously in terms of sensitivity and specificity (—— means the author did not segment the corresponding plaques).

Methods Fibrous Calcified Lipid
Our method Sensitivity 0.95 ± 0.03 0.87 ± 0.06 0.81 ± 0.11
Specificity 0.97 ± 0.02 0.92 ± 0.06 0.96 ± 0.03
Deep learning method Sensitivity —— 0.85 ± 0.07 0.87 ± 0.07
Specificity —— 0.94 ± 0.02 0.90 ± 0.05
Machine learning method Sensitivity 0.81 0.65 0.80
Specificity 0.91 0.91 0.88
Other patch-based method Sensitivity 0.89 0.34 0.88
Specificity 0.98 0.97 0.98