Research Article
Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants
Table 3
Results for slices from different studies using 2D and 3D neighborhoods.
| | | | 3 × 3 | 5 × 5 | 7 × 7 | | | | 2D | 3D | 2D | 3D | 2D | 3D |
| 1 | MKSFCM | VP | 61.8 | 61.8 | 43.6 | 60 | 41.8 | 50.9 | FP | 6.9 | 7.3 | 3.8 | 6.3 | 3.6 | 5.9 | SKFCM | VP | 49.1 | 63.6 | 49.1 | 63.6 | 60 | 63.6 | FP | 5 | 34.2 | 5.2 | 29.4 | 5.8 | 31.3 |
| 2 | MKSFCM | VP | 30.9 | 49.4 | 27.2 | 45.7 | 23.5 | 42 | FP | 3.3 | 5.7 | 3.1 | 5 | 2.9 | 4.4 | SKFCM | VP | 34.6 | 51.9 | 34.6 | 51.9 | 35.8 | 53.1 | FP | 3.7 | 26.3 | 3.7 | 29.6 | 3.70 | 31.1 |
| 3 | MKSFCM | VP | 100 | 95.7 | 65.2 | 30.4 | 47.8 | 21.7 | FP | 4.8 | 3.6 | 3.8 | 1.9 | 1.8 | 1.7 | SKFCM | VP | 95.7 | 100 | 100 | 100 | 100 | 100 | FP | 3.5 | 10.1 | 8 | 19.2 | 14.9 | 23.4 |
| 4 | MKSFCM | VP | 100 | 95 | 95 | 95 | 90 | 95 | FP | 9.4 | 6.3 | 6 | 5.5 | 5 | 5.3 | SKFCM | VP | 100 | 100 | 100 | 100 | 100 | 100 | FP | 30.8 | 23.8 | 32.8 | 26.6 | 34.3 | 41.7 |
| 5 | MKSFCM | VP | 78.9 | 78.9 | 78.9 | 78.9 | 0 | 76.3 | FP | 13.6 | 13.7 | 9.5 | 13.9 | 3 | 14.5 | SKFCM | VP | 89.5 | 89.5 | 89.5 | 89.5 | 89.5 | 92.1 | FP | 20.9 | 35.2 | 26.1 | 38.5 | 28.7 | 40.1 |
| 6 | MKSFCM | VP | 96.9 | 90.70 | 93.8 | 88.7 | 85.6 | 67 | FP | 17.4 | 6.7 | 15.8 | 4.3 | 15.7 | 3.7 | SKFCM | VP | 97.9 | 97.3 | 99 | 97.9 | 99 | 97.9 | FP | 31.1 | 21.3 | 33.5 | 27.5 | 35.3 | 30.2 |
| 7 | MKSFCM | VP | 43.8 | 43.8 | 42.2 | 42.2 | 42.2 | 32.8 | FP | 7 | 6.8 | 6.2 | 5.5 | 5.3 | 4.7 | SKFCM | VP | 43.8 | 43.8 | 43.8 | 43.8 | 43.8 | 43.8 | FP | 9.7 | 8.4 | 15.3 | 15.9 | 21 | 21.2 |
| 8 | MKSFCM | VP | 98.8 | 97.6 | 97.6 | 84.5 | 100 | 84.5 | FP | 4.6 | 3.8 | 3.6 | 2.6 | 4.4 | 2.4 | SKFCM | VP | 100 | 100 | 100 | 100 | 100 | 100 | FP | 6 | 5.2 | 8.6 | 10.1 | 11.7 | 14.2 |
| 9 | MKSFCM | VP | 97.8 | 95.1 | 92.2 | 92.1 | 91.6 | 91.6 | FP | 5.5 | 1.7 | 1.1 | 1.1 | 0.9 | 0.9 | SKFCM | VP | 97 | 97.8 | 100 | 100 | 100 | 100 | FP | 2.4 | 5.9 | 13 | 14.7 | 17.1 | 19.2 |
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