InstanSeg (the only one with no I.M.C. data in its training set) appears to be missing lots of cells that the other two easily detect.

Also, how should a user decide on the correct segmentation when algorithms disagree with each other? Any ground truth?

InstanSeg (the only one with no I.M.C. data in its training set) appears to be missing lots of cells that the other two easily detect.


Also, how should a user decide on the correct segmentation when algorithms disagree with each other? Any ground truth?