Automated Feature Extraction in Brain Tumor by Magnetic Resonance Imaging Using Gaussian Mixture Models

Table 3

Performance metrics (%) based on the wavelets.

Classifier	Metrics	T1-WI		T2-WI		FLAIR
		db1	coif1	db1	coif1	db1	coif1
NB	Accuracy	67.64	79.41	82.35	85.29	70.58	64.70
	False alarm	17.64	8.82	8.82	8.88	8.82	14.70
	Missed detection	14.70	8.8235	8.82	8.82	20.58	20.58
SVM	Accuracy	50	76.47	85.29	88.23	58.82	55.88
	False alarm	20.58	14.70	2.94	0	8.82	8.82
	Missed detection	29.41	8.82	11.76	11.76	32.35	35.29
PNN	Accuracy	70.58	79.41	82.35	88.23	70.588	58.82
	False alarm	20.58	20.58	11.76	5.88	20.58	29.41
	Missed detection	8.82	0	5.88	5.88	8.82	11.76

db1 and coif1 are the first order of Daubechies and Coiflet wavelet, respectively.