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.

Sign up for GitHub

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

Jump to bottom

The model predicts pixels as opposed to true pixels #37

Open
SorryMaker511 opened this issue Aug 9, 2023 · 0 comments
Open

The model predicts pixels as opposed to true pixels #37

SorryMaker511 opened this issue Aug 9, 2023 · 0 comments

Comments

@SorryMaker511
Copy link

SorryMaker511 commented Aug 9, 2023 •
edited
Loading

Hello,I have a strange question. When I use the trained model for segmentation, I can split the liver and the background, but the split liver has 0 pixels and the background is 1. In the original test set, the liver has 1 pixel and the background is 0.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@SorryMaker511