Improving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Exploration

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dc.contributor.authorAmabili, Lorenzoen_US
dc.contributor.authorKosinka, Jirien_US
dc.contributor.authorMeersbergen, Maarten A. J. vanen_US
dc.contributor.authorOoijen, Peter M. A. vanen_US
dc.contributor.authorRoerdink, Jos B. T. M.en_US
dc.contributor.authorSvetachov, Pjotren_US
dc.contributor.authorYu, Lingyunen_US
dc.contributor.editorJimmy Johansson and Filip Sadlo and Tobias Schrecken_US
dc.date.accessioned2018-06-02T17:54:25Z
dc.date.available2018-06-02T17:54:25Z
dc.date.issued2018
dc.description.abstractEffective collaborative work in diagnostic medical imaging is not trivial due to the large amounts of complex data involved, a (non-linear) workflow involving experts in different domains, and a lack of versatility in the current tools employed in healthcare. In this paper, we aim to introduce how the integration of visual storytelling techniques together with provenance data in the analytic systems used in medicine can compensate for these issues, by enhancing communication of results and reproducibility of findings through diagnostic provenance data. To this end, we illustrate how we can improve the interaction with provenance data displayed in a graph in order to facilitate authoring and the creation process of visual data stories.en_US
dc.description.sectionheadersVisual Analytics and Applications
dc.description.seriesinformationEuroVis 2018 - Short Papers
dc.identifier.doi10.2312/eurovisshort.20181076
dc.identifier.isbn978-3-03868-060-4
dc.identifier.pages43-47
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20181076
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20181076
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectCentered Computing
dc.subjectInteraction Design
dc.subjectVisualization
dc.titleImproving Provenance Data Interaction for Visual Storytelling in Medical Imaging Data Explorationen_US
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