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DCAN-Labs / BIBSnet

This BIDS App provides the utility of creating a nnU-Net anatomical MRI segmentation and mask with a infant brain trained model. It can easily be included in other processing pipelines and for circumventing JLF within Nibabies.
https://bibsnet.readthedocs.io/en/latest/
Apache License 2.0
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Adding manually corrected segmentations from WashU babies to BIBSnet model #17

Closed moser297 closed 1 year ago

moser297 commented 1 year ago

A short summary of what you would like to see in CABINET.

Some attempts to use the 512 BIBSnet model with T1 and T2 weighted images collected at WashU resulted in missing parts in the segmentation. To increase generalizability of the model in the future, it could be helpful to add some manually corrected segmentations of these subjects to the set of images the model is trained on.

Do you have any interest in helping implement the feature?

Yes!

Add any additional information or context about the request here.

No response

audreymhoughton commented 1 year ago

We are longer planning to add WashU subjects. Issues were resolved in other ways. We will add manually corrected HBCD subjects in the future.