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 cpu
Using 1 thread(s)
Preparing model and loading weights
Working 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 CNN
Killed

real 3m33.897s
user 2m48.028s
sys 0m32.337s

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