Thermography as an Economical Alternative Modality to Mammography for Early Detection of Breast Cancer

Table 2

Results of classification of normal/abnormal thermograms using Gabor features and SVM classifier.

Iterations	Sensitivity	Specificity	Accuracy (%)	Error rate (%)	Precision	MCC	F-score
1	1	0.8235	91.18	8.82	0.85	0.8235	0.9189
2	1	0.9412	97.06	2.94	0.9444	0.9412	0.9712
3	1	0.9412	97.06	2.94	0.9444	0.9412	0.9712
4	1	1	100	0	1	1	1
5	1	0.8824	94.12	5.88	0.8947	0.8824	0.9444
6	1	1	100	0	1	1	1
Maximum	1	1	100	8.82	1	1	1
Minimum	1	0.8235	91.18	0	0.8947	0.8824	0.9189
	1	0.9314	0.96.57	3.4300	0.9389	0.9314	0.9676
	0	0.0688	3.4370	3.4370	0.0590	0.0688	0.0317