Updates on this project for those interested. I segmented and analyzed texture features of 10 low grade brain gliomas and 9 high grade gliomas with original transformations (haven’t analyzed wavelets yet).
It’s sort of difficult for me to see if any conclusions could be made. So far, I see that first order statistics have the best numbers in terms of sensitivity and sensibility (could this be due to analysis of only the largest cross-section image and not the entire tumor?). Features reflecting the largest variance from the mean were the most significant ones, suggesting lower homogeinity in high grade gliomas.
Please feel free to add any comments.
