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 |
 |
| image_data_mha.ipynb |
It extracts image spacing, size, and pixel type from a group of .mha images |
open |
|
| 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:
- 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 |
| ciclope |
Process micro Computed Tomography images to generate Finite Element models |
go to repository |
Visit the documentation page |
