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

Table 1

Evaluation metrics applied to phantoms images regarding the five segmentation techniques applied in the tests.

	AOM (%)	AUM (%)	AVM (%)	CM (%)	CP (%)	CR (%)	(%)	(%)	Err. (%)	FPR (%)
Active contour	83.07	15.44	1.90	88.57	84.55	98.10	83.07	94.73	5.27	0.87
Region growing	75.02	22.50	3.23	83.09	77.49	96.76	75.02	91.51	8.48	1.06
Fuzzy -means	72.38	19.75	18.51	78.03	80.24	81.48	72.38	87.81	12.18	8.02
-means	60.73	9.72	36.78	71.41	90.27	63.21	60.73	77.63	22.36	27.69
SOM	82.50	13.17	5.17	88.05	86.82	94.82	82.50	94.32	5.67	2.02
Required value	100	0	0	100	100	100	100	100	0	0