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

Table 3

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

(a) After 1 iteration

0.6007		0.5507		0.5677
0.5236		0.5712		0.5178
0.5807		0.5008		0.5438
0.4922		0.4993		0.4892
0.5934		0.4993		0.5372
0.4993		0.4898		0.5192

(b) After 4 iterations

0.3446		0.3247		0.3251
0.4024		0.3512		0.3415
0.3515		0.3861		0.3488
0.2452		0.3412		0.2944
0.3544		0.2586		0.3589
0.2881		0.3245		0.2292

(c) After 7 iterations

0.0278		0.0852		0.0353
0.0267		0.0497		0.0318
0.0795		0.0278		0.0519
0.0105		0.0084		0.0068
0.0097		0.0092		0.0087
0.0082		0.0081		0.0051