Hello all, such a good collection of resources!

I would like to add the effort of the image analysis library Insight
ToolKit (ITK) to quickly create 3D visualizations in the web and/or with
jupyter notebooks.

They are not in a lesson format, but it is promising!

Here is a mybinder with all the dependencies installed:

  https://mybinder.org/v2/gh/InsightSoftwareConsortium/itk-
jupyter-widgets/master?filepath=examples%2F3DImage.ipynb

  https://mybinder.org/v2/gh/InsightSoftwareConsortium/itk-
jupyter-widgets/master?filepath=examples/SpecifyAColormap.ipynb

  https://mybinder.org/v2/gh/InsightSoftwareConsortium/itk-
jupyter-widgets/master?filepath=examples/SelectRegionOfInterest.ipynb

Based on this repo:   https://github.com/InsightSoftwareConsortium/itk-
jupyter-widgets

There is also a course of Biomedical Image Analysis and Visualization:
https://github.com/KitwareMedical/2018-05-30-KRSCourseInBiomedicalImageAnal
ysisAndVisualization

If the user is running the notebooks locally, instead of in mybinder, we
just need:
`pip install --user itkwidgets`

Best regards,
Pablo


On Wed, Aug 15, 2018 at 12:59 PM, mbgoodman via discuss <
discuss@lists.carpentries.org> wrote:

> Hello all,
> I am sorry I missed this thread in May.  As Amy Hodge noted, we have been
> developing image processing lessons at Stanford.  The first iteration was
> held in 2017 and was built by a team of Stanford grad students mentored by
> Greg Wilson.  We are in the midst of updating four lessons for the next
> iteration, to be held in 2018.  I need to check in with the current TA team
> about updates, but initial github repo is here:
> https://github.com/DataLucence/images
>
> I am digesting all of the other resources noted in this thread over the
> next 6 weeks.
>
> -Miriam Goodman
> *The Carpentries <https://carpentries.topicbox.com/latest>* / discuss /
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