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implement train routine
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Thanks for sharing this amazing work.
I have a 3D MRI dataset and I am looking forward to apply deep learning techniques. I was wondering if Universeg would work for 3D input.
Thanks.
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Hello everyone,
is there an intuitive way to render 3D vector data? Based on the examples provided in GitHub, I sucessfully managed to include shapefiles and geopackages but it looks like the z-com…
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- cellpose's 3d algorithm fails with our brightfield data. our XZ and YZ slices are riddled with diffraction that make cell identification extremely difficult
- cellpose's 3d algorithm works well wi…
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**Submitting author:** @enthusi (Martin Wendt)
**Repository:** https://github.com/enthusi/feline
**Branch with paper.md** (empty if default branch):
**Version:** 1.0.0
**Editor:** Pending
**Reviewers…
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hi,
thank you for your great work. I wonder where is the 3d data for the 3d segmentation.
thx again.
look forward to your reply
best,
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#### Expected behaviour
Data labels should be on top of their respective slices when having a negative [distance](https://api.highcharts.com/highcharts/series.pie.dataLabels.distance) setting.
###…
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hello, when I use preprocess/data_conversion.py to convert the DICOM images to NIFTI, I encounter an error.
Firstly, I open the python script as a Pycharm Project, and I change the Python Interpreter…
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Hello,
I have successfully generated 3d tiles using following command
java -jar /home/akshay/Desktop/mago_1.8/mago-3d-tiler-1.8.1-natives-linux.jar --input "/home/akshay/Desktop/mago_1.8/bhavnagar/w…
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Dear,
Thanks for your great working for spateo.
I want to ask a question. Can I use the level data(bin15) not use cellsplited to make 3D visualization? At present, my adata only have the following…