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README.md

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## Configuration
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### Local Deployment
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* Check out code
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* Check out the code
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* Install _extended_ hugo from the [Hugo Website](https://gohugo.io/)
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* Install npm, e.g., from [npmjs Website](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)
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* Change to mevislab.github.io folder and run `npm install`

mevislab.github.io/content/about/about.md

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status: "OK"
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tags: ["Symbols", "Glossary", "Overview"]
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---
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## Symbols
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We embedded three symbols, referencing additional info, tasks, and warnings:
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{{<alert class="info" caption="Info">}}

mevislab.github.io/content/contact.md

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date: 2022-06-15T08:54:53+02:00
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draft: false
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### Feedback is Valuable and Always Appreciated!
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#### MeVisLab Licensing

mevislab.github.io/content/examples/basic_mechanisms/contour_filter/index.md

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Images are loaded via `ImageLoad` module and visualized unchanged in a `View2D` module *View2D1*.
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Additionally, the images are modified by a local macro module `Filter` and shown in another `View2D` viewer *View2D*.
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In order to display the same slice (unchanged and changed), the module `SyncFloat` is used to synchronize the field value *startSlice* in both viewers. The `SyncFloat` module duplicates the value *Float1* to the field *Float2*.
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In order to display the same slice (unchanged and changed), the module `SyncFloat` is used to synchronize the field value *startSlice* in both viewers. The `SyncFloat` module duplicates the value *Float1* to the field *Float2* if it differs by *Epsilon*.
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![Screenshot](examples/basic_mechanisms/contour_filter/image.png)
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mevislab.github.io/content/examples/basic_mechanisms/macro_modules_and_module_interaction/example1/index.md

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layout: post
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title: "Panel for the contour filter"
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title: "Panel for the Contour Filter"
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category: "basic_mechanisms"
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# Example 1: Panel for the Contour Filter
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This example contains a whole package structure. Inside you can find the example contour filter for which a panel was created.
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This example contains an entire package structure. Inside, you can find the example contour filter for which a panel was created.
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## Summary
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A new macro module `Filter` has been created. Initially, macro modules do not provide an own panel containing user interface elements such as buttons. The *Automatic Panel* is shown on double-clicking the module providing the name of the module.

mevislab.github.io/content/examples/basic_mechanisms/macro_modules_and_module_interaction/example2/index.md

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layout: post
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title: "Python scripting"
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title: "Python Scripting"
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category: "basic_mechanisms"
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## Summary
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A new macro module `IsoCSOs` is created providing two viewers in its internal network, `View2D` and `SoExaminerViewer`. Both viewers are included in the panel of the module.
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To showcase how Python functions can be implemented in MeVisLab and called from within a module, additional buttons to browse directories and create contours via the `CSOIsoGenerator` are added. Lastly, a field listener is implemented reacting to field changes by colorizing contours when the user hovers over them with the mouse.
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To showcase how Python functions can be implemented in MeVisLab and called from within a module, additional buttons to browse directories and create contours via the `CSOIsoGenerator` are added. Lastly, a field listener is implemented that reacts to field changes by colorizing contours when the user hovers over them with the mouse.
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![Screenshot](examples/basic_mechanisms/macro_modules_and_module_interaction/example2/image2.png)
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mevislab.github.io/content/examples/basic_mechanisms/viewer_application/index.md

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layout: post
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title: "Creating a simple application"
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title: "Creating a Simple Application"
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category: "basic_mechanisms"
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mevislab.github.io/content/examples/data_objects/contours/example2/index.md

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title: "Contour interpolation"
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title: "Contour Interpolation"
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category: "data_objects"
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# Contour Example 2: Contour Interpolation
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This example shows how to interpolate CSOs across slices.
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## Summary
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In this example, semi-automatic countours are created using the `SoCSOLiveWireEditor` module and their visualization is modified using the `SoCSOVisualizationSettings` module.
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In this example, semiautomatic countours are created using the `SoCSOLiveWireEditor` module and their visualization is modified using the `SoCSOVisualizationSettings` module.
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Additional contours between the manually created ones are generated by the `CSOSliceInterpolator` and added to the `CSOManager`. Different groups of contours are created for the left and right lobe of the lung and colored respectively.
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mevislab.github.io/content/examples/data_objects/contours/example3/index.md

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title: "2D and 3D visualization of contours"
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title: "2D and 3D Visualization of Contours"
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category: "data_objects"
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mevislab.github.io/content/examples/data_objects/contours/example4/index.md

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title: "Annotation of images"
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title: "Annotation of Images"
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category: "data_objects"
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# Contour Example 4: Annotation of Images
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This example shows how to add annotations to an image.
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## Summary
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In this example, the network of **Contour Example 3** is extended so that the volume of the 3D mask generated by the `VoxelizeCSO` module is calculated. The `CalculateVolume` module counts the number of voxels in the given mask and returns the correct volume in ml. The calculated volume will be used for a custom `SoView2DAnnotation` displayed in the `View2D`.
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In this example, the network of **Contour Example 3** is extended, so that the volume of the 3D mask generated by the `VoxelizeCSO` module is calculated. The `CalculateVolume` module counts the number of voxels in the given mask and returns the correct volume in ml. The calculated volume will be used for a custom `SoView2DAnnotation` displayed in the `View2D`.
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![Screenshot](examples/data_objects/contours/example4/image.png)
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