Hi,
I am currently working on a project that involves a whole body PET/CT scan of a healthy patient. The goal is to segment the skull, simulate a localized defect, and create a customized prosthetic patch that fits the curvature of the skull.
So far I have implemented workflows using both manual and automatic segmentation with TotalSegmentator. Unfortunately, the results of TotalSegmentator have not been satisfactory, probably due to the limitations of my computer in processing AI calculations.
I am considering combining different segmentation approaches, but I am not yet sure which one is the most effective solution.
Could you please give me some advice on the most suitable segmentation methods or workflows?
Thanks in advance for any advice you can give me.
Kind regards