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

Table 2

Classification accuracy with different types of features.

Method	ACC	SEN	SPEC
GLCM [28]	61.63%	67.50%	56.52%
HOG [29]	66.28%	65.00%	67.39%
LBP [30]	60.47%	67.50%	54.35%
GMRF [31]	53.49%	57.50%	50.00%
GLDS [37]	61.63%	62.50%	60.87%
Our method	70.93%	70.00%	71.74%