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

MAISI Inference #1940

Open
Zeyad-Zaky opened this issue Feb 6, 2025 · 0 comments
Open

MAISI Inference #1940

Zeyad-Zaky opened this issue Feb 6, 2025 · 0 comments

Comments

@Zeyad-Zaky
Copy link

Zeyad-Zaky commented Feb 6, 2025

I am trying to use MAISI inference and I have a couple of questions.

my pipeline now to generate a segmentation mask to give as input for MAISI inference is:

  1. generate segmentation mask using TotalSegmentatorV2
  2. generate segmentation mask using Visat3D
  3. unify labels (convert TS labels to same values of Vista3D)
  4. generate unified mask to take best segmentation
  5. use MAISI inference

my questions are:

  1. is that pipeline helps to get best results or it has some problems, as I could not neither find in the paper nor documentations how you prepare the segmentation masks.
  2. Important question: both segmentation networks do not provide segmentation masks for air or body regions. I investigated the training dataset and found that the value 200 is assigned to those parts, however I could not find anywhere what is HU threshold you are using, so please also if you can guide onto that part whether where to find it or what is the threshold being used. so if you can advise how you prepare the body segmentation mask with value 200 and integrate with the segmentation masks from the segmentation networks.
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

1 participant