**5. Conclusion**

278 Grid Computing – Technology and Applications, Widespread Coverage and New Horizons

ROI 0° 45° 90° 135° Min Max T1 4.120 0.242 4.527 0.242 0.242 4.527 T2 0.872 10.51 2.520 11.21 0.872 11.21 T3 7.711 16.50 0.721 16.30 0.721 16.50 T4 0.091 7.741 2.411 17.41 0.091 **17.41**  T5 1.746 6.942 13.14 6.042 1.746 13.14 T6 14.01 5.841 0.821 0.841 0.821 14.01 T7 3.341 1.206 0.011 1.210 **0.011** 1.206

T8 0.103 0.212 0.527 0.242 0.103 0.527 T9 0.872 11.31 2.520 12.21 0.872 11.21 T10 0.001 17.20 0.761 13.40 **0.001 17.20**  T11 0.004 0.741 2.411 0.411 0.004 2.411 T12 0.246 6.842 8.104 0.052 0.052 8.104 T13 0.071 0.771 0.811 0.101 0.071 0.811 T14 1.345 1.216 0.081 1.210 0.081 1.345

T15 12.10 0.222 1.021 2.230 0.222 12.10 T16 3.212 0.141 12.02 11.21 0.141 12.02 T17 0.701 1.110 0.001 16.30 **0.001 16.30**  T18 1.091 0.011 2.017 12.41 0.011 12.41 T19 5.342 0.442 1.014 1.042 0.442 5.342 T20 1.121 5.821 0.123 10.31 0.123 10.31 T21 1.341 1.306 1.011 12.10 1.306 12.10

ROI Direction, *θ* Homogeneity

ROI 0° 45° 90° 135° Min Max T1 3.015 0.101 12.98 2.045 0.101 12.98 T2 5.178 1.087 0.251 1.101 0.251 5.178 T3 0.018 1.679 1.022 0.667 0.667 1.679 T4 10.54 12.05 11.02 1.668 1.668 12.05 T5 5.890 0.014 12.98 1.031 0.014 **12.98**  T6 0.012 11.02 0.023 0.098 0.012 11.02 T7 0.001 11.78 0.078 1.189 **0.001** 11.78

T8 0.040 1.212 5.527 2.142 0.040 5.527 T9 0.012 12.31 2.320 10.17 0.012 12.31 T10 0.007 11.30 12.61 13.24 0.007 **13.24**  T11 0.001 11.01 0.401 0.011 **0.001** 11.01 T12 11.20 0.047 10.14 0.009 0.009 11.20 T13 2.001 0.731 0.011 0.001 **0.001** 2.001 T14 2.562 3.691 0.001 0.001 **0.001** 3.691

T15 1.133 1.895 1.021 2.230 1.021 2.230 T16 0.112 0.141 6.027 11.21 0.112 6.027 T17 0.001 0.140 0.001 12.31 **0.001** 12.31 T18 0.001 0.011 2.028 0.480 **0.001** 2.028 T19 11.30 0.442 1.134 0.001 **0.001** 11.30 T20 12.01 0.821 0.123 2.078 0.123 12.01 T21 0.001 0.002 1.011 13.28 **0.001 13.28** 

ROI Direction, *θ* Contrast

Cyst

Tumor

Healthy

Cyst

Tumor

Healthy

Table 4. Contrast Results for cyst, tumor and healthy liver.

Table 5. Homogeneity results for cyst, tumor, and healthy liver.

In the approach described above, it should be noted that, resolution, ROI image block size and sampling space used for calculation of SGLCM are important considerations in statistical feature extraction. The present study has shown promising results in the use of texture for the extraction of diagnostic information from MR images of the liver. Two features were selected using SGLCM, namely entropy and correlation, whilst it was shown that homogeneity and contrast were unsuitable to differentiate between cyst, tumor and healthy liver. In our experiment, the same features were used as input to the NN with the aid of Globus automated scheduling for hepatic liver tissue characterization of MRI images. In particular, this paper provides results of successful preliminary diagnosis of cyst and liver tumor in the liver tissue.
