Research Article

Computer-Aided Assessment of Tumor Grade for Breast Cancer in Ultrasound Images

Table 1

Values of the features of low- and high-grade tumors.

FeaturesLow-gradeHigh-grade value
Mean ± SDMedianMean ± SDMedian

Textural
0.0250.0260.201
3.227 ± 0.6963.260 ± 0.6860.815
0.4820.4850.927
3.936 ± 0.2063.911 ± 0.1490.542
1.360 ± 0.1701.372 ± 0.1470.715
0.623 ± 0.0880.590 ± 0.0780.069
0.0310.0330.218
1.874 ± 0.4331.864 ± 0.3540.914
0.583 ± 0.0430.580 ± 0.0320.747
3.727 ± 0.2033.706 ± 0.1510.608
1.002 ± 0.1381.005 ± 0.1080.900
0.783 ± 0.0570.770 ± 0.0410.233
0.0260.0270.214
2.925 ± 0.6312.959 ± 0.5490.795
0.507 ± 0.0440.501 ± 0.0260.504
3.905 ± 0.2063.887 ± 0.1460.647
1.291 ± 0.1631.305 ± 0.1190.658
0.661 ± 0.0820.631 ± 0.0600.072
0.0400.0430.496
1.104 ± 0.2711.134 ± 0.2200.583
0.669 ± 0.0390.661 ± 0.0290.331
3.493 ± 0.1983.489 ± 0.1440.916
0.736 ± 0.1090.754 ± 0.0840.413
0.873 ± 0.0340.860 ± 0.0300.061
Morphological
0.824
0.783
9.259 ± 2.9199.691 ± 3.7740.502
1.5331.8960.599
0.377 ± 0.1010.373 ± 0.1110.868
0.998 ± 0.0020.998 ± 0.0030.111
Ellipsoid fitting
1.6221.7570.521
1.238 ± 0.0891.225 ± 0.1140.503
0.910 ± 0.0150.913 ± 0.0180.427
15180.082
7100.055
23300.047
440.642
110.842
550.595
Posterior acoustic
33.459 ± 6.51734.870 ± 7.0210.305
1.438 ± 0.3181.570 ± 0.4080.061
9.841 ± 6.93912.173 ± 8.3910.122
32.666 ± 26.93542.986 ± 34.4950.083
1.802 ± 0.7802.035 ± 0.8510.158

The mean value, standard deviation (SD), median value, and value of -test or Mann-Whitney test of each feature. Student’s -test was applied if a feature is normally distributed; otherwise, Mann-Whitney test was applied. The Kolmogorov-Smirnov test was applied to normality test.