Comments (4)
Hello,
yes sorry I haven't had time to add this bit to the github repo, so it's normal if you cannot use it yet ;)
the code still needs a bit of cleaning, so I'm likely to release the new training/testing code all at the same time.
I'll keep you posted when I do !
Benjamin
from synthseg.
Done !
Sorry, it took me a little while because I was working on my thesis.
Anyway the new testing code is out now, let me know if there's anything wrong with it :)
I still need to clean a bit the training code, so I should upload it around September 2022.
from synthseg.
Hi,
I've added all the training code for synthseg with the --robust flag. There's a brief script that tells you how this new architecture has been trained (it's in scripts/tutorials/7-synthseg+.py).
See the paper here for more details:
https://link.springer.com/chapter/10.1007/978-3-031-16443-9_52
from synthseg.
Hello
that's funny I just saw the new version of your paper yesterday ! .
Very nice work ! (i like very much the QC part you added)
from synthseg.
Related Issues (20)
- Synthseg+ training HOT 5
- Input shapes at inference HOT 7
- /
- provide bids-app HOT 1
- Run inference directly on the original NIFTI image HOT 2
- CSF label left out of "labels table.txt" HOT 1
- Synthesize image for different anantomical templates HOT 2
- Resampled image is not saved HOT 2
- random segmentation failures HOT 3
- Segmentation Discrepancies Analysis HOT 3
- Clarification on Fine-Tuning with real images HOT 4
- \
- ValueError: Error when checking input: expected labels_input to have 4 dimensions, but got array with shape (1, 216, 256, 8, 1) HOT 1
- Clarification on GMM sampling HOT 1
- InvalidArgumentError: 4D Input Expected with SynthSeg_predict.py on MacOS M2 HOT 7
- insula subsegmentation HOT 2
- Error while following the training example HOT 6
- synthseg-robust 2.0 HOT 1
- lab2im version errors HOT 2
- Force resampling HOT 1
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