Table 4.
Comparison of segmentation results of the proposed segmentation method with the segmentation method of Kubota et al., Kuhnigk et al., and Moltz et al. considering 891 nodules of LIDC-IDRI data set. For metrics PF, Accuracy, Overlap, Sensitivity, Specificity, SR the maximum and for metrics MD, HD, MHD, SA the minimum values are emphasized with italics.
Comparative analysis | Kuhnigk et al. | Moltz et al. | Kubota et al. | Proposed method | |||||
---|---|---|---|---|---|---|---|---|---|
Nodule | Metric | Mean | SD | Mean | SD | Mean | SD | Mean | SD |
Solid/ | MD | 3.65 | 2.55 | 3.04 | 1.83 | 4.56 | 3.60 | 2.85 | 1.84 |
part-solid | PF | 0.48 | 0.27 | 0.58 | 0.17 | 0.50 | 0.23 | 0.62 | 0.14 |
HD | 4.93 | 4.50 | 4.49 | 4.02 | 8.98 | 7.00 | 5.01 | 5.11 | |
MHD | 2.90 | 4.30 | 1.62 | 2.53 | 3.05 | 3.37 | 1.46 | 2.41 | |
Accuracy | 0.99 | 0.01 | 0.99 | 0.01 | 0.97 | 0.05 | 0.99 | 0.01 | |
Overlap | 0.35 | 0.23 | 0.41 | 0.18 | 0.34 | 0.15 | 0.46 | 0.16 | |
Sensitivity | 0.39 | 0.26 | 0.48 | 0.19 | 0.56 | 0.16 | 0.58 | 0.16 | |
Specificity | 1.00 | 0.00 | 1.00 | 0.00 | 0.97 | 0.05 | 0.99 | 0.01 | |
SA | 1.02 | 0.33 | 0.94 | 0.23 | 1.01 | 0.23 | 0.88 | 0.20 | |
SR | 0.47 | 0.28 | 0.55 | 0.21 | 0.48 | 0.23 | 0.61 | 0.18 | |
Non-solid | MD | 6.36 | 2.49 | 6.19 | 2.50 | 6.81 | 0.39 | 3.24 | 1.89 |
PF | 0.05 | 0.14 | 0.07 | 0.17 | 0.36 | 0.23 | 0.56 | 0.15 | |
HD | 9.05 | 4.22 | 8.15 | 3.17 | 13.38 | 6.44 | 4.93 | 3.35 | |
MHD | 8.28 | 4.05 | 7.49 | 4.2 | 5.45 | 3.88 | 1.78 | 2.96 | |
Accuracy | 0.98 | 0.00 | 0.98 | 0.02 | 0.94 | 0.06 | 0.98 | 0.02 | |
Overlap | 0.00 | 0.02 | 0.02 | 0.06 | 0.18 | 0.15 | 0.32 | 0.12 | |
Sensitivity | 0.01 | 0.03 | 0.03 | 0.07 | 0.40 | 0.18 | 0.44 | 0.16 | |
Specificity | 1.00 | 0.00 | 1.00 | 0.00 | 0.95 | 0.06 | 1.00 | 0.00 | |
SA | 1.57 | 0.00 | 1.51 | 0.13 | 1.24 | 0.21 | 1.04 | 0.16 | |
SR | 0.02 | 0.06 | 0.04 | 0.10 | 0.27 | 0.23 | 0.47 | 0.15 |
MD mean distance, PF Pratt function, HD Hausdorff distance, MHD modified Hausdorff distance, SA similarity angle, SM similarity measure