Table III. Diagnostic performance of the kNN on images processed using a Local Binary Pattern operator. Euclidean distance metric when k = 1.

	Average diagnostics for kNN & LBP (P = 8,R = 2)			Average diagnostics for kNN without LBP
2 × 2 block image	Sensitivity [95%CI]	Specificity [95%CI]	Accuracy [95%CI]	Sensitivity [95%CI]	Specificity [95%CI]	Accuracy [95%CI]
Original image	0.55	0.56	0.55	0.65	0.59	0.62
Original ROI	0.62	0.53	0.58	0.71	0.49	0.63
Enhanced image	0.57	0.69	0.63	0.66	0.59	0.63
Enhanced ROI	0.69	0.56	0.63	0.73	0.46	0.60

kNN: k-Nearest Neighbours LBP: Linear binary processor. ROI: Region of interest.