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MS lesion Ground Truth segmentation on MP2RAGE images #292
Comments
Here in the QC for GT MS lesions for 104 subjects from Legend of QC masks
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Thank you for your comments @jcohenadad TODO:
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Here in the QC for GT MS lesions for all Legend of QC masks
I have also indicated with the |
Excellent work @Nilser3! My review 👉 qc_flags.json Legend:
In general, I find that you oversegment compared to the automatic segmentation. Specific suggested changes:
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Thanks for your feedback @jcohenadad I have push to the git-annex 163 MS maks (159 masks corrected by
Redy for PR @mguaypaq
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@Nilser3 I'm confused about the status of this issue. Is it ready for review, or are there still TODO items? |
@mguaypaq The TODO list will be for a next PR Thanks you, |
Ok, sorry for the delay. All the files are properly git-annexed. Merged into master. |
QC of subjects with lesions to be reviewed with a neuroradiologist |
Hi @Nilser3 I see 22 subjects to be revised. I am not sure we will have time to go through all cases since we have 9 subjects for tSCI and dcm (other projects) (except if you have very specific questions). Is it possible to prioritize some? |
Description
Data
nih-ms-mp2rage
marseille-7T-iso-mp2rage
marseille-7T-aniso-mp2rage
As discussed here, the manual segmentations from
algo-2
(3D nnUnet, for details see. #75) will be used to start creating MS GTHere in the QC for
nih-ms-mp2rage
Legend of QC masks
Related Issues
#267 #56 #80 #75
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