Comments (1)
Thank you for your comment. Sorry, we are still finalizing the framework and hence, the delay in more accessible documentation. Yes, you can use the thresholded images as input/starting point given it matches our definition of "scribbles" in our Fiji plugin. You might have to run connected component analysis to remove any "noisy" scribbles in this case (random noise because of your thresholding). Given our interactive/iterative active learning framework available via Fiji plugin, yes you will be able to interact with the output after that iteratively and refine the results till you are satisfied.
We will update the details soon for the official release of this tool (hopefully in another 2-3 weeks).
Thanks again for your interest.
from impartial.
Related Issues (12)
- Questions new user HOT 1
- interactive annotation & install ImageJ plugin HOT 2
- sample images for using Fiji plugin HOT 1
- demo for Fiji plugin HOT 1
- can't start monailabel server using `-a api` HOT 1
- Evaluation of Impartial model performance within Monai: HOT 2
- Unable to run multi-channel png format image via public endpoint HOT 1
- Stoping the server did not reset the user session
- Error Loading images on ImageJ plugin when running on 10.0.3.117 server
- Deploy ImPartial as a service
- Training time optimization HOT 11
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from impartial.