I have large datasets (10 to 30GB per image) which are thus difficult to segment on original files. One solution I imagined is
1- to use a 10X downscaled version of my images,
2- paint “seeds” in the 14 regions I want segmented,
3- shrink the sizes of each segment by a couple of voxels,
4- then apply the seg.nrrd file to the original large size image after and
5- apply a grow from seed function (and go make myself a coffee…).
Everything works well up to step 5. Segments are matching to the new high resolution image but are somewhat fixed to low resolution settings.
Thanks for your help