Comments (5)
There should be a saved_model.pbtxt in fsl_fast.tar.gz\fsl_fast\0\1513180310, maybe try pointing to this? As far as I remember, it was sufficient with tf v.1.10 to point to the directory as you did above. I assume test.csv has been replaced by the CSV you posted above.
Another note, there might be an issue running these models on other data. Typically, MR weighted images exhibit quite a large variation between acquisition protocols.
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Thanks, I'll try with fsl_fast/0/1513180310/saved_model.pb
and let you know if it worked.
Maybe I can try histogram matching to the training dataset. Also, should my image be MNI-registered? Would a rigid registration be enough?
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Histogram matching might improve things, yes. Registration is a standard rigid to MNI 1mm isotropic resampling as done in the UK Biobank (c.f. the paper).
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Great, thanks!
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I modified the model path in config.json
to:
"model_path": "/tmp/neuronet/models/fsl_fast/0/",
and it worked.
I ran it on three MNI-registered images from three different scanners and the segmentations are reasonable. @mrajchl, thanks for your help.
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