Difference between revisions of "Tutorials"

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==Videos==
 
==Videos==
  
 
* [http: | Navigation inside of MITK] Functions used everytime working in MITK and helpful to know.
 
* [http: | Navigation inside of MITK] Functions used everytime working in MITK and helpful to know.
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* Segmentation
 
* Segmentation
 
* Volume Rendering
 
* Volume Rendering
 
* Capturing stuff inside MITK
 
* Capturing stuff inside MITK
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===Videos by others===
 
===Videos by others===
  
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Hinweis, wer ein cooles Video erstellt, irgendwo auf der Welt, kann sich melden, und wenn es passt, kann das Video auf der Webiste verlinkt werden. Mit Name.
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Revision as of 14:02, 20 August 2015

!!! WORK IN PROGRESS !!!

MITK provides a large selection of tools and functionalities. This collection of tutorials should introduce you to the most common of them.

For these tutorials the MITK Workbench 2015.5.0 version has been used. Probably some small differences to the tutorials can show up, when you start using newer versions, but they should not influence the general workflow.

Tutorials

May I introduce you to MITK?
IconWelcomeMITK.png

Get an overview of the MITK Workbench on your first start.

(DataSet#)


(Created: August 2015)

Load, save and close projects
IconOSC.png

Here is explained how to get your data into or out of MITK.

(DataSet#)


(Created: August 2015)

Navigation inside of MITK
IconNavigate.png

Learn about the most common functions in MITK, which you will use pretty much every time, work.

(DataSet#)


(Created: August 2015)

Measuremtens and Pointsets Interaction
IconMeasureMarkTut.png

See here how to use these helpful Plugins!

(DataSet#)


(Created: August 2015)

Capture the screen and movies
IconCapture.png

With these functions you can record easily your work.

(DataSet#)


(Created: August 2015)

Data-Sets

To practice the workflows we offer you datasets, which are also used in the tutorials, so that you can reproduce every described step. At the end of the descriptions of the Tutorials you see the numbers of the used datasets.

  • DataSet #1
  • DataSet #2