Detection and Classification of Cancer from Microscopic Biopsy Images Using Clinically Significant and Biologically Interpretable Features

Table 5

Comparative performances of various classifiers for the chosen features for various tissue types.

	Accuracy	Specificity	Sensitivity	BCR	-measure	MCC	Accuracy	Specificity	Sensitivity	BCR	-measure	MCC
	Connective tissues						Epithelial tissues
RF	0.907245	0.993668	0.493996	0.743832	0.647373	0.642137	0.849306	0.966243	0.555332	0.760788	0.675868	0.609494
SVM	0.89245	0.888438	0.948297	0.918756	0.538314	0.55879	0.796998	0.7851	0.898525	0.842279	0.472804	0.4587
FYZZY; NN	0.787879	0.867476	0.370074	0.618789	0.356613	0.231013	0.665834	0.76465	0.407057	0.585984	0.401181	0.17053
NN	0.921909	0.940164	0.819922	0.880263	0.759395	0.717455	0.884727	0.916446	0.801733	0.859435	0.795319	0.71626
Muscular tissues							Nervous tissues
RF	0.889878	0.995023	0.193145	0.594084	0.313309	0.37318	0.843102	0.92827	0.723262	0.825766	0.792403	0.676888
SVM	0.884379	0.886718	0.786303	0.83681	0.263764	0.320547	0.769545	0.723056	0.946068	0.834923	0.630126	0.552038
FUZZY; NN	0.614958	0.672503	0.535894	0.604364	0.538571	0.208941	0.808453	0.882722	0.242776	0.562835	0.225886	0.11837
NN	0.897321	0.923277	0.650761	0.787092	0.543009	0.49783	0.861763	0.880866	0.835733	0.858482	0.834116	0.716492