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dc.contributor.authorSicat, Ronell B.en_US
dc.contributor.authorHadwiger, Markusen_US
dc.contributor.authorMitra, Niloy J.en_US
dc.contributor.editorM.- A. Otaduy and O. Sorkineen_US
dc.date.accessioned2014-01-26T14:58:25Z
dc.date.available2014-01-26T14:58:25Z
dc.date.issued2013en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttp://dx.doi.org/10.2312/conf/EG2013/short/077-080en_US
dc.description.abstractVolume segmentation is an integral data analysis tool in experimental science. For example, in neuroscience, analysis of 3D volumes of neural structures from electron microscopy data is a key analysis step. Despite advances in computational methods, experts still prefer to manually proofread and correct the automatic segmentation outputs. Such corrections are often annotated at the level of data slices in order to minimize distortion artifacts and effectively handle the massive data volumes. In absence of crucial global context in 3D, such a workflow remains tedious, time consuming, and error prone. In this paper, we present a simple graph-based abstraction for segmentation volumes leading to an interactive proofreading tool making the process simpler, faster, and intuitive. Starting from an initial volume segmentation, we first construct a graph abstraction and then use it to identify potential problematic regions for the user to investigate and correct spurious segmentations, if identified. We also use the graph to suggest automatic corrections, thus drastically simplifying the proofreading effort. We implemented the proofreading tool as an Avizo c plugin and evaluated the method on complex real-world use cases.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleGraph Abstraction for Simplified Proofreading of Slice-based Volume Segmentationen_US
dc.description.seriesinformationEurographics 2013 - Short Papersen_US


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