Application of Artificial Neural Network Models in Segmentation and Classification of Nodules in Breast Ultrasound Digital Images

Table 2

Evaluation metrics applied in actual breast images regarding the five segmentation techniques applied in the tests.

	AOM (%)	AUM (%)	AVM (%)	CM (%)	CP (%)	CR (%)	(%)	(%)	Err. (%)	FPR (%)
Active contour	81.69	8.57	11.53	87.20	91.43	88.47	81.69	95.83	4.17	3.05
Region growing	70.85	19.42	25.55	93.22	67.13	92.07	62.32	89.79	10.21	2.19
Fuzzy -means	59.86	24.51	33.63	71.96	77.41	72.84	57.36	85.19	14.81	10.87
-means	38.92	30.74	57.02	42.26	87.65	45.65	41.61	67.29	32.71	37.89
SOM	75.25	19.75	24.09	93.97	67.46	96.77	65.15	91.33	8.66	0.62
Required value	100	0	0	100	100	100	100	100	0	0