Comments (2)
david-wb
commented on June 2, 2024
I updated data_prepare.py locally to handle the missing ribseg labels for certain ribfrac images. Happy to open a PR if you grant me permission.
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ShixuanGu
commented on June 2, 2024
Thanks! Yes, I noticed data_prepare.py used the complete RibFrac dataset, which contains 660 CT scans, while RibSeg contains 480 cases. I just updated the code, let me know if there's still an issue. Appreciate your help!
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Related Issues (17)
- forward的时候报错，尚未找到原因，大家碰到过吗 HOT 3
- problem with data_prepare.py HOT 1
- train_rigseg.py labels wierds HOT 1
- data_prepare.py seems to be the binary version seg_classes = {'rib':[0,1]} HOT 2
- Why is there a scapula in the result of my segmentation?
- Some error when I use post_proc.py HOT 8
- Dataset problem HOT 1
- How to use this code on ribfrac dataset for five kinds of rib segmentation HOT 8
- About the ribseg dataset HOT 2
- Visualization of prediction results HOT 1
- How to number the ribs HOT 1
- An error occurred while training the model“ModuleNotFoundError: No module named 'models.CLNet'” HOT 3
- issue in inference.py code branch ribsegv1, np.load both data and seg are same? HOT 1
- during training and inference HOT 1
- Label Accuracy is counted by dice threshold HOT 1
- Please tell me how do you achieve the indicators of center line evaluation？
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