Texture Feature-Based Classification on Transrectal Ultrasound Image for Prostatic Cancer Detection

Table 3

Classification performance of all comparison methods.

Method	ACC	SEN	SPEC
KNN [33]	63.95%	57.50%	69.57%
DT [34]	63.96%	55.00%	71.72%
RF [35]	62.78%	62.50%	63.04%
Our method	70.93%	70.00%	71.74%