Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

QC review of the segmentations: GT vs model prediction #45

Open
plbenveniste opened this issue Feb 5, 2025 · 1 comment
Open

QC review of the segmentations: GT vs model prediction #45

plbenveniste opened this issue Feb 5, 2025 · 1 comment

Comments

@plbenveniste
Copy link
Collaborator

plbenveniste commented Feb 5, 2025

EDITED:

Here is the QC zip file to download: qc_for_review.zip

Instructions:

  1. Download the qc_for_review.zip file
  2. Unzip the file.
  3. Open the index.html file in the browser of your choice (Chrome is recommended). This will open the QCing interface.
  4. Once you have done this, you can:
    • go through the segmentations with the up ↑ and down ↓ arrows on your keyboard (note that segmentations for identical subjects are consecutive)
    • you can toggle the segmentations using the right → and left ← arrow on your keyboard
    • TO GRADE: you can press 1 to 5 on your keyboard to assign a Likert scale to the segmentation currently displayed. You can remove a grading by typing 0
  5. Once you are done with the evaluation of the segmentation you should press "Save All" at the bottom left. This will export a .json file which contains the gradings you have just done
  6. Send us the .json file so that we can compute the performances
@jcohenadad
Copy link
Member

Click "Display Columns" on the top left. Only keep the columns "File" and "Rank".

can be discarded now, with the modified QC (spinalcordtoolbox/spinalcordtoolbox#4785)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants