Hi gkrisp!



 gkrisp9:

I could find a model that initially was trained for grayscale 3D images and therefore I wouldn’t face this problem right ?


I’ve haven’t experimented with this, so I don’t have any firm knowledge
here.  But based on my intuition, I would say:
In an ideal world, if you have a one-channel, grayscale use case, then
all else being equal, a pretrained one-channel model would seem to
be the best.  But I would expect any one-channel vs. three-channel
benefit to be pretty marginal.  I would think that other details of the
architecture or the quality of pretraining would matter much more.
I just don’t see using a three-channel model on grayscale images as
being a problem in any practical sense.
Best.
K. Frank