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

pymic for classification #19

Open
mehrnia opened this issue Oct 22, 2024 · 0 comments
Open

pymic for classification #19

mehrnia opened this issue Oct 22, 2024 · 0 comments

Comments

@mehrnia
Copy link

mehrnia commented Oct 22, 2024

I am using PyMIC for a classification task to determine whether the left ventricle (LV) has a scar or not. I noticed in the PyMIC examples that it mentions the use of VGG/ResNet architectures for the classification process. Does this imply that PyMIC's classification tasks are entirely based on VGG/ResNet models?

I initially assumed PyMIC would integrate UNet as part of the classification process, especially given its strong focus on medical image segmentation. Could you clarify if PyMIC uses UNet or any other specialized architectures in the classification workflow, or is it strictly limited to standard CNNs like VGG and ResNet for such tasks?

Thank you for the clarification!

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