Table 4.

Classification performance of alternates of SVM based on texture and intensity attributes extracted from OCT images

Classification condition	Classifier used	Sensitivity (%)	Specificity (%)	Accuracy (%)
NOM vs DR	Linear	70.0	82.8	79.5
	Quadratic	90.9	92.9	92.3
	Cubic	91.7	96.3	94.9
DM vs DR	Linear	71.4	73.7	72.7
	Quadratic	76.5	87.5	81.8
	Cubic	93.3	94.4	93.9
NOM vs DM vs DR	Linear	71.4	80.6	78.3
	Quadratic	78.6	90.0	83.3
	Cubic	92.9	93.1	91.7

Note: Bold values indicate best classification accuracies found during feature selection.

Abbreviations: DM, diabetes mellitus; DR, diabetic retinopathy; NOM, normal; OCT, optical coherence tomography; SVM, support vector machine.