methods only consider a fixed input. This approach is especially unsuited for evaluation, without simultaneously defining an appropriate interface, which actually validates that a real person utilizing this [UI]{} is capable of generating similar input patterns to the ones provided. Although, there are some overview publications, which compare several approaches [@zhao2013overview; @olabarriaga2001interaction; @mcguinness2010comparative; @mcguinness2011toward; @amrehn2016comparative], the number of publications outlining new methods is disproportionately greater, leaving comparisons insufficiently covered. In **Tab.**\[tab:interactiveSegmentationEvaluationComparison\], a clustering of popular publications describing novel interactive segmentation techniques is depicted. The evaluation methods can be compared by the type of data utilized as user input. Note that there is a trend towards more elaborate evaluations in more recent publications.

Clinical Application for Interactive Segmentation {#sec:tace}
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Hepatocellular carcinoma () is among the most prevalent malignant tumors worldwide [@chung2006transcatheter; @mcglynn2011global]. Only of cases are curable via surgery. Both, a patient’s and hepatic cirrhosis in advanced stages may lead on to the necessity of alternative treatment methods. For these inoperable cases, trans-catheter arterial chemoembolization () [@lewandowski2011transcatheter] is a promising and widely used minimally invasive intervention technique [@bruix2005management; @bruix2011management]. During , collateral vessels are occluded, which previously supplied the [HCC]{} with oxygenated blood. To locate these vessels, it is crucial 