Comments (5)
Which pre-trained model do you want to use?
from med_segmentation.
The one for the whole-body adipose tissue segmentation. If possible the weights and network specifications on both TUEF/DZD and NAKO dataset. May I use them in PyTorch?
from med_segmentation.
You can find the network specifications in the config files pretrained_model/AT_MRGEN_New and pretrained_model/AT_NAKO.
All the networks were trained on this code using Tensorflow, which can not easily be used in Pytorch. If you want to use it in Pytorch you would first need to check that all functions (and parametrizations) are implemented there exactly the same. Please send me an email if you are still interested in the weights of the network.
from med_segmentation.
from med_segmentation.
Solved.
from med_segmentation.
Related Issues (10)
- add contribution HOT 18
- Missing get_fixed_patches_index in pipeline.py HOT 1
- Ask about landmark detection encode HOT 1
- Which model in ModelSet.py is the DCNet model HOT 1
- Error when trying to run example HOT 1
- Possible example? HOT 1
- Change setup.py to same as requirements.txt HOT 3
- sort slice location have problem with my dataset HOT 2
- Pretrained model available?
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from med_segmentation.