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2010

Exploration and Visualization of Segmentation Uncertainty using Shape and Appearance Prior Information

8 years 10 months ago
Exploration and Visualization of Segmentation Uncertainty using Shape and Appearance Prior Information
—We develop an interactive analysis and visualization tool for probabilistic segmentation in medical imaging. The originality of our approach is that the data exploration is guided by shape and appearance knowledge learned from expert-segmented images of a training population. We introduce a set of multidimensional transfer function widgets to analyze the multivariate probabilistic field data. These widgets furnish the user with contextual information about conformance or deviation from the population statistics. We demonstrate the user’s ability to identify suspicious regions (e.g. tumors) and to correct the misclassification results. We evaluate our system and demonstrate its usefulness in the context of static anatomical and time-varying functional imaging datasets.
Ahmed Saad, Ghassan Hamarneh, Torsten Möller
Added 31 Jan 2011
Updated 31 Jan 2011
Type Journal
Year 2010
Where TVCG
Authors Ahmed Saad, Ghassan Hamarneh, Torsten Möller
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