Table 1.
Transductive Learning GP model | Standard GP model | |
---|---|---|
Selected image texture features |
1. T2.Information.Measure.of.Correlation.2_Avg_1 2. T2.Angular.Second.Moment_Avg_1 3. T2.Kurtosis 4. rCBV.Contrast_Avg_1 |
1. T2.Difference.Entropy_Avg_3 2. T2.Contrast_Avg_1 3. T2.Entropy_Avg_1 4. SPGRC.Sum.Variance_Avg_3 5. SPGRC.Gabor_Std_0.4_0.1 6. rCBV.Angular.Second.Moment_Avg_1 7. rCBV.Difference.Variance_Avg_1 8. rCBV.Kurtosis 9. EPI.Gabor_Mean_0.4_0.1 10. EPI.Angular.Second.Moment_Avg_1 11. FA.Angular.Second.Moment_Avg_1 12. FA.Skewness 13. FA.Difference.Variance_Avg_3 14. FA.Entropy_Avg_1 15. FA.Sum.Variance_Avg_1 16. FA.Information.Measure.of.Correlation.1_Avg_1 17. FA.Range" |
The transductive learning model, which prioritized model uncertainty during the training process, comprised fewer image features and lower complexity compared with the standard GP model.