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. 2018 May 30;2018:2610801. doi: 10.1155/2018/2610801

Table 4.

ROC analysis findings for each morphological and dynamic parameter in terms of sensitivity, specificity, misclassification error, and accuracy.

Features Sensitivity [%] Specificity [%] Misclassification Error [%] Accuracy [%] AUC
MSD 73,910 64,100 32,260 67,740 0.668
TTP 38,890 34,620 62,900 37,100 0.516
AUC 80,770 72,220 24,190 75,810 0.769
WII 40,000 43,240 58,060 41,940 0.501
WOI 44,830 45,450 54,840 45,160 0.437
WIS 78,260 66,670 29,030 70,970 0.717
WOS 70,970 70,970 29,030 70,970 0.657
AUCWI 28,570 39,020 64,520 35,480 0.459
AUCWO 81,820 67,500 27,420 72,580 0.766
Circularity 60,980 71,430 35,480 64,520 0.762
Compactness 83,330 81,250 17,740 82,260 0.824
Convexity 42,420 41,380 58,060 41,940 0.469
Curvature 68,570 74,070 29,030 70,970 0.770
Elongation 57,890 62,500 40,320 59,680 0.680
Diameter 69,230 63,890 33,870 66,130 0.738
Eccentricity 52,630 54,170 46,770 53,230 0.453
Irregularity 54,550 55,170 45,160 54,840 0.448
Radial Length 76,000 67,570 29,030 70,970 0.811
Entropy 62,500 72,730 33,870 66,130 0.699
Rectangularity 56,670 56,250 43,550 56,450 0.564
Roughness 85,710 68,290 25,810 74,190 0.834
Smoothness 90,480 70,730 22,580 77,420 0.810
Sphericity/roundness 62,790 78,950 32,260 67,740 0.710
Spiculation 81,820 67,500 27,420 72,580 0.742
Surface 68,180 60,000 37,100 62,900 0.713
Volume 92,860 62,500 30,650 69,350 0.738