dipy
MONAILabel
| dipy | MONAILabel | |
|---|---|---|
| 3 | 1 | |
| 669 | 542 | |
| 1.0% | 2.8% | |
| 9.9 | 7.9 | |
| 6 days ago | 5 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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dipy
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How to find diffusion tensor images?
I thought I would get the colorful photos and use this python library (dipy)[https://dipy.org/] to transfer the picture to a matrix. So I now I'm kind confused how I'd get the "numbers"/color in the legend next to the matrix photo I linked. Cause it sounds like the colors have no significance to how many neurons are in that portion rather it sounds like the colors or a way to differentiate on section of the brain from another when just looking at the photos.
- how to convert dti data to matrix?
- Jupyter refuses C++
MONAILabel
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[D] Need to find a good self-hosted medical image annotation tool.
I've also found MONAILabel(https://github.com/Project-MONAI/MONAILabel), but it apparently requires GPU which makes it really expensive. I'd rather find a cpu based solution because our task is not that complex. We only get some Dicom files (each have studies in them), and want to label them.
What are some alternatives?
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