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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.
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