Research Article
Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification
Table 5
Comparison of executive efficiencies of the six algorithms.
| | Algorithm | Number of iterations | | Legend | | Figure 5 (noise added) | Figure 6 | Figure 7 |
Figure 8 |
| | FCM | 69 | 50 | 35 | 68 | | FCM_S | 36 | 14 | 22 | 63 | | EnFCM | 11 | 28 | 13 | 56 | | FGFCM | 11 | 27 | 14 | 47 | | FLICM | 18 | 33 | 13 | 15 | | Algorithm in this paper | 6 | 8 | 5 | 9 |
| | | Running time (s) |
| | FCM | 12.8605 | 12.4230 | 9.8213 | 17.2120 | | FCM_S | 10.9752 | 9.1020 | 8.3464 | 14.3180 | | EnFCM | 7.2450 | 8.3830 | 8.1840 | 12.3040 | | FGFCM | 9.2880 | 7.4350 | 6.1859 | 9.3020 | | FLICM | 6.2450 | 9.3020 | 6.1826 | 7.7290 | | Algorithm in this paper | 5.3614 | 4.6481 | 4.4618 | 5.7344 |
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