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- W2087184498 abstract "Planning of surgical liver tumor resections based on image data from X-ray computed tomography requirescorrect segmentation of the liver, liver vasculature and pathological structures. Automatic liver segmentationmethods frequently fail in cases where the anatomy is degenerated by lesions or other present liver diseases. Onthe other hand performing a manual segmentation is a tedious and time consuming task. Therefore AugmentedReality based segmentation refinement tools are reported, that aid radiologists to efficiently correct incorrectsegmentations in true 3D using head-mounted displays and tracked input devices. The developed methodsfacilitate segmentation refinement by interactively deforming a mesh data structure reconstructed from an initialsegmentation. The variety of refinement methods are all accessible through the intuitive, direct 3D user interfaceof an Augmented Reality system." @default.
- W2087184498 created "2016-06-24" @default.
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- W2087184498 date "2004-05-05" @default.
- W2087184498 modified "2023-09-23" @default.
- W2087184498 title "Augmented-reality-based segmentation refinement" @default.
- W2087184498 doi "https://doi.org/10.1117/12.535478" @default.
- W2087184498 hasPublicationYear "2004" @default.
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