Research Article

A Model of High-Dimensional Feature Reduction Based on Variable Precision Rough Set and Genetic Algorithm in Medical Image

Table 1

ROI feature values of lung tumor PET/CT image.

Types of diseaseShape featureGray featureTamura textureTexture features of GLCMTexture feature of wavelet
0 degree45 degrees90 degrees135 degreesNormStandard deviationEnergy

Lung malignant tumor6.0000122.281014.70000.08080.07790.07900.0611649.258037.17521.0000
0.00121491.150030.96502.89372.90672.89893.128426.94733.84860.0017
0.000038.61540.23260.25760.28200.26530.44909.35201.33550.0002
0.0000−0.50560.16680.16760.16590.164916.82002.40250.0007
0.00002.41660.07920.07590.07720.056627.11433.86930.0017
0.00001404530.25760.28200.26530.449020.31632.90200.0010
0.00007.052416.411016.446916.358416.443113.17551.88180.0004
0.00002.70892.70722.71002.806618.34412.61990.0008
0.57550.60070.58100.7345
210.9390211.7900209.5780208.8250
0.30640.33510.31350.3950
−0.6779−0.6708−0.6775−0.5696
0.00000.00000.00000.0000
0.76250.78020.76580.8001
Lung benign tumor4.000050.391210.16160.80870.79150.80770.7864379.91702.67411.0000
0.00336.00061.88350.43240.47320.43700.48405.75510.82110.0002
0.00002.44962.63290.04330.06210.04690.06791.17450.16770.0000
0.00000.56499.48997.81279.24299.24293.46840.49550.0001
0.00002.85890.80820.79050.80720.78532.08230.29720.0000
0.000032830.04330.06210.04690.06792.18210.31170.0000
0.00003.25597.83677.83637.83967.83630.89370.12760.0000
0.00000.40240.43010.40450.43702.23870.31970.0000
0.17820.23260.18940.2481
55.525755.089955.529154.9831
0.05960.08730.06500.0958
−0.4707−0.3295−0.4351−0.2911
0.00000.00000.00000.0000
2.04292.11722.06512.1394