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Hello Freesurfer

I am reaching out for some advice on unsupervised WM lesion detection using SAMSEG and WMH-SynthSeg.

*SAMSEG: * Our use case prioritizes maximizing true positives over minimizing false positives. However, even with a low threshold of 0.1, SAMSEG misses some areas (on FLAIR). Are there any strategies or parameters to force SAMSEG to be more "aggressive"?

*WMH-SynthSeg:* Unfortunately, I have not been able to get WMH-SynthSeg to work. The error message is pasted below. Does this point to a memory issue (I have 24GB RAM)?

*Arguments seem correct; loading Python packages...Using cpuUsing 1 thread(s)Preparing model and loading weightsWorking on image 1 of 1: /home/localuser01/southekal/TEMP/101-001_3scans_FLAIR/101-001-1_reg.mgz Loading input volume and normalizing to [0,1] Upscaling to target resolution Pushing data through the CNNKilledreal 3m33.897suser 2m48.028ssys 0m32.337s*

Any insights or suggestions would be greatly appreciated! Thank you in advance.