. Author manuscript; available in PMC: 2013 May 1.

Published in final edited form as: Ann Biomed Eng. 2012 Jan 4;40(5):1192–1204. doi: 10.1007/s10439-011-0498-8

Table 3.

Comparison of pooled nuclei classification performances from different techniques.

Automated analysis vs. Observer 1
		KNN_kde(n=1)	KNN_kde(n=5)	SVM_kde	CF-SVM
p16^-/Ki67⁺	Precision [%]	78.4	89.8	88.3	93.8
p16⁺/Ki67^-		62.1	58.3	74.3	82.7
p16⁺/Ki67⁺		35.3	45.5	70.2	82.6
Sensitivity [%]		53.6	56.2	71.9	89.4
Specificity [%]		99.4	99.5	99.5	99.6

		Automated analysis vs. Observer 2
		KNN_kde(n=1)	KNN_kde(n=5)	SVM_kde	CF-SVM
p16^-/Ki67⁺	Precision [%]	77.9	89.1	87.9	93.2
p16⁺/Ki67^-		61.6	57.7	72.5	81.2
p16⁺/Ki67⁺		34.6	42.3	67.4	77.1
Sensitivity [%]		51.5	58.4	71.1	86.3
Specificity [%]		99.4	99.4	99.5	99.6