Dataset Open Access
Demo images to get familiar with pyKNEEr: https://sbonaretti.github.io/pyKNEEr/
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Version 4:
- Added licenses to notebooks
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Version 3:
- Added sliders in the notebooks for preprocessing, segmentation, and relaxometry
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Version 2:
- Minor changes: Improved print out of dependences; Changed names of Jupyter notebooks for segmentation (change needed for future releases); Added missing title "Intensity Preprocessing" in preprocessing.ipynb; Variables changed from name1.name2 to name1_name2 in .csv files
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Version 1:
Contains:
- Input: Folder with the demo images to get familiar with pyKNEEr
- Output: Folder with the outputs of the demo, to compare your findings with ours
Name | Size | |
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demo.zip
md5:e5b9586c5d74b7bf41357f75c177ca72 |
2.1 GB | Download |
demo_v2.zip
md5:30bf8140e9e402f000d1b5e0afbe9e08 |
2.1 GB | Download |
demo_v3.zip
md5:5714f656ce0fc1f4c3a8768853e3e854 |
2.1 GB | Download |
demo_v4.zip
md5:3732497885eb053e934c07545019f1f0 |
2.1 GB | Download |
All versions | This version | |
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Views | 720 | 389 |
Downloads | 2,447 | 402 |
Data volume | 5.2 TB | 850.0 GB |
Unique views | 631 | 347 |
Unique downloads | 586 | 258 |