Computational and Mathematical Methods in Medicine / 2015 / Article / Tab 2

Research Article

Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification

Table 2

Values of memberships and clustering centers ( and ) in the neighborhood shown in Figures 4(a) and 4(b) after 1, 4, and 7 iterations.
(a) After 1 iteration

0.47530.47270.4712
0.47170.47230.4753
0.47210.47360.4722

0.50310.51220.5124
0.51120.530310.5042
0.51210.50630.5066

(b) After 4 iterations

0.75640.75620.7601
0.75370.75230.7564
0.81200.76110.7589

0.77810.78810.7689
0.78330.76820.7596
0.76810.81950.7764

(c) After 7 iterations

0.96870.93110.9714
0.96580.96020.9596
0.97090.96730.9598

0.98680.97270.9943
0.99070.97390.9763
0.99600.99020.9856

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