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Hello,
I'm interested in testing out the InstantDL workflow using images of fluorescent nuclei from the 2018 DSB stage 1 test dataset (https://bbbc.broadinstitute.org/BBBC038) before training my o…
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Hi,
I was wondering how intensity normalizations work when a patient contains multiple images. For instance when we do ZNormalization, are the normalization statistics (i.e. means and std) computin…
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I cant get the score you wrote in your paper. FullNet+lossvarCE, FullNet and FCNpooling's results are not good abstract compared to your result.
I want to know where is wrong. First, I don't use …
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why you don't have this task?
or could you please help me to modify the code for it?
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I was able to repurpose the `spleen_segmentation_3d.ipynb` tutorial for portal vein segmentation based on [3D-IRCADb 01](https://www.ircad.fr/research/3d-ircadb-01/), where I have 20 CT images and I u…
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## Feedback
__Help Desk Issue Tracker URL__: https://on.spiceworks.com/tickets/open/678/activity
__Message__:
* It isn't immediately obvious where to submit comments on the current page layout?…
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Thank you so much for sharing this exciting approach. I also found the paper very interesting!
Question - Does this method work for situations where you are only predicting a few classes? For examp…
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Hi @eisen-ai ,
Thanks for the amazing package!
I am experimenting with Eisen to perform segmentations on both organ and tumor and I tried to get example in the documentation on how to work with …
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# Issue description
Review the documentation. Due 27th (sorry again)
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@s-sd
https://github.com/DeepRegNet/DeepReg/tree/master/docs/source/tutorial
@acasamitjana
https://…
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Dear all,
I'm not clear the `ids` in `dice_hinge.py`.
Why introduce this variable?And what is the role of variables `h1` and `h2`?
Besides, compared to the classical dice, what is the advantage of…
ghost updated
4 years ago