Gallery of Jupyter notebooks representing use cases
Notebooks in this repository
Notebook name |
Description |
Open in this repository |
Link to Binder |
subject_data.ipynb |
It calculates descriptive statistics for a group of subjects from tabular data |
open |
![Binder](https://camo.githubusercontent.com/e91e1d353a8b6acf0b42547ac3901f2c30138a3abaaa3d3c242da30b5b4f8426/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667) |
image_data_mha.ipynb |
It extracts image spacing, size, and pixel type from a group of .mha images |
open |
![Binder](https://camo.githubusercontent.com/e91e1d353a8b6acf0b42547ac3901f2c30138a3abaaa3d3c242da30b5b4f8426/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667) |
isq_io_viz.ipynb |
Reading, writing, and visualizing .isq images |
open |
Coming soon |
How to explore the notebooks in this repository
- The very easy way:
- Go to binder:
![Binder](https://camo.githubusercontent.com/e91e1d353a8b6acf0b42547ac3901f2c30138a3abaaa3d3c242da30b5b4f8426/68747470733a2f2f6d7962696e6465722e6f72672f62616467655f6c6f676f2e737667)
- Open a notebook
- Run all cells (
Cell
-> Run all cells
) or run one cell at the time sequentially (click on a cell -> Cell
-> Run cell
)
- Do not forget to read the narrative of the notebook!
- The easy way:
- If you are not familiar with the Jupyter/python enviroment, watch this tutorial
- Clone or download this repository (green button
code
above)
- Open a notebook, run it, and then try it with your own data!
Notebooks in other repositories
Repository |
Description |
Open in this repository |
Where to start exploring |
ITKIOScanco |
An ITK module to read and write Scanco microCT .isq files. |
go to repository |
Click on the launch binder badge |
pyKNEEr |
An open and reproducible workflow for knee cartilage segmentation |
go to repository |
Click on the launch binder badges |