Version 1.73.0

Trainable Weka Segmentation nodes

JIPipe nodes and data types encapsulating the Trainable Weka Segmentation were added, making it possible to utilize these without the Macro node.

New data type “Weka model” (saves classifier, data, and metadata of the segmenter)
New node “Import Weka model” (allows to import existing models)
New node “Train Weka model from ROI (2D)”
New node “Train Weka model from ROI (3D)”
New node “Train Weka model from mask (2D)”
New node “Train Weka model from labels (2D)”
New node “Weka classifier 2D”
New node “Weka classifier 3D”

A small example showcasing how to utilize the Trainable Weka Segmentation nodes.

It was requested to include “Analyze skeleton 2D/3D” as node, so the user did not have to utilize the Macro node.

New node “Analyze skeleton 2D/3D” (tip: Use the “Outputs” parameter section to enable more outputs)
New node ” Morphological skeletonize 3D”

A small example showcasing how to utilize the Analyze skeleton 2D/3D node.

New nodes were added that simplify the processing of ROI lists and label images

New node “ROI to labels (Expression)” (the label value is assigned via a custom expression)
New node “ROI to labels (by name)” (the label value is assigned by the name of the ROI)
New node “Labels to ROI” (based on https://labelstorois.github.io)
New node “Color ROI by name” (tip: if you want to color by statistics, there is “Color ROI by statistics”)

A small example showcasing nodes for conversion between labels and ROIs and vice versa.