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. 2021 Aug 24;69(1):73–83. doi: 10.1109/TUFFC.2021.3107598

TABLE III. Classification Results of Each Feature and SVM Classifiers Using Various Combinations of Features as Input Features.

Features SEN SPC AUC [95% CI]
Pleural line TPL 0.71 0.69 0.68 [0.47–0.88]
RPL 0.86 0.77 0.81 [0.64–0.99]
MPLI 0.43 0.92 0.69 [0.49–0.89]
SDPLI 0.86 0.54 0.65 [0.43–0.88]
SVM 0.86 0.93 0.87 [0.72–1.00]
B-lines NBL 0.86 0.92 0.91 [0.80–1.00]
AWBL 0.86 0.92 0.91 [0.80–1.00]
ACBL 0.93 0.46 0.70 [0.49–0.90]
AIBL 0.93 0.62 0.74 [0.54–0.94]
SVM 0.93 0.86 0.94 [0.86–1.00]
SVM (PL+BL) 0.93 1.00 0.96 [0.88–1.00]

TPL = thickness of pleural line, RPL = roughness of pleural line, MPLI = mean value of pleural line intensity, SDPLI = SD of pleural line intensity, NBL = number of B-lines, AWBL = accumulated width of B-lines, ACBL = attenuation coefficient of B-lines, AIBL = accumulated intensity of B-lines. SVM = support vector machine, PL = pleural line, BL = B-lines. SEN = sensitivity, SPC = specificity, AUC = area under the receiver operating characteristics curve, CI = confidence level.