Operating system: Mac OS Slicer version: 4.9.0 Hi everyone, I am a Neuroradiology Fellow with some background in Biomedical Engineering in Buenos Aires, Argentina and for the past 6 months I’ve been working with Texture Analysis. At first it was pretty hard to learn about different software in th…

Hi Leandro - Thanks for sharing your project and workflow - it’s important work and I will be very interested to see what you discover. A few thoughts / suggestions: a lot of work has gone into enhancing the new Segment Editor so it might try that. Also in both editors the GrowCut algorithm (Grow…

Hello Leandro, Very interesting project! As your using the PyRadiomics extension, you can also normalize as part of the feature extraction in this extension (saves you a processing step). For this to work, you need to write a parameter file and pass the file location in the extension (select Param…

Thank you very much for your quick responses Steve and Joost! I 'll try to follow your piece of advice. Would you think I am in the right track? I mean in terms of the process

Seems very reasonable to me. When you are comfortable with the tools you could formulate some hypotheses about what effect size you expect to see and that would give you a sense of how many subjects you need to segment to test it.

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 fir…

Hello, first you need to test the correlation between your variable for example with a Pearson test. To check if for example, it is not the volume/surface that correlate with your variance than your high/low grade gliomas. Than you must correct your test, i suppose wilcoxon? for multiple testing (…

Brain Gliomas, Texture Analysis and Machine Learning

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Brain Gliomas, Texture Analysis and Machine Learning

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