OK. Thanks for the clarification.

Migration guide and a ton of examples can be found in {D763}.

Discussion result: nice to have wären auch die Informationen des "first pass" (-> welche reader configuratoin, findet wieviele volumes und welche Dateien werden verwendet) schön.

So the last changes in the branch, are basically the changes I made, so that she could modify the code, already used for the dicomweb/kaapana interaction, to simply apply it for this modul. Since it would have been quite similar. I guess, when the changes of the rest module are done: We (AIH-Cluster will take care of restarting the MITK-Kaapana interaction). I think this could be then a not so complicated add-on.

Oh yes, I also forgot about this, the final state was, as I remember correctly, that she did not succeed in producing meaningful results.

@gaoh Please help me out. what was the final status of Elisabth's work here? Totaly dropped off the radar.

this is also partially covered/related with T29392: [SEG] Add dedicated writer to store multi-label images in nifti

Pushed new branch to rMITK MITK: feature/T29025-PreferencesCoreService.

In T29193#240043, @s349i wrote:

One thing to consider might be, is SLIC even useful? If neural networks are going to be taking care of segmentation anyway, what is it's likely sell-by date? This depends on how quickly NN based segmentation algorithms are incorporated into MITK.

Example data

Which data has been used to provoke the problem.