[Retracted] A Computer-Aided Method for Digestive System Abnormality Detection in WCE Images

Table 4

The results of classification on Kvasir dataset.

Class /metric	Accuracy	FN rate	FP rate	Precision	Recall	F-measure
Angiectasia	0.973	0.066	0.019	0.906	0.934	0.920
Blood-fresh	0.992	0.034	0.005	0.945	0.966	0.956
Hematin	0.999	0.167	0.000	1.000	0.833	0.909
Erosion	0.951	0.273	0.025	0.759	0.727	0.743
Erythematous	0.989	0.232	0.005	0.797	0.768	0.782
Foreign bodies	0.999	0.004	0.001	0.994	0.996	0.995
Lymphoid hyperplasia	0.981	0.081	0.011	0.916	0.919	0.917
Polyp	0.999	0.091	0.001	0.943	0.909	0.926
Ulcer	0.973	0.090	0.015	0.921	0.910	0.915
Normal mucosa	0.934	0.169	0.040	0.832	0.831	0.831