ProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentation

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dc.contributor.authorSaad, Ahmeden_US
dc.contributor.authorMöller, Torstenen_US
dc.contributor.authorHamarneh, Ghassanen_US
dc.contributor.editorG. Melancon, T. Munzner, and D. Weiskopfen_US
dc.date.accessioned2014-02-21T20:06:18Z
dc.date.available2014-02-21T20:06:18Z
dc.date.issued2010en_US
dc.description.abstractIn this paper, we develop an interactive analysis and visualization tool for probabilistic segmentation results in medical imaging. We provide a systematic approach to analyze, interact and highlight regions of segmentation uncertainty. We introduce a set of visual analysis widgets integrating different approaches to analyze multivariate probabilistic field data with direct volume rendering. We demonstrate the user s ability to identify suspicious regions (e.g. tumors) and correct the misclassification results using a novel uncertainty-based segmentation editing technique. We evaluate our system and demonstrate its usefulness in the context of static and time-varying medical imaging datasets.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01691.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01691.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleProbExplorer: Uncertainty-guided Exploration and Editing of Probabilistic Medical Image Segmentationen_US
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