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This, in turn, enables fast and accurate area\/volume measurements as well as the extraction of statistics for the selected region. Our general purpose algorithm can be applied to any visible structure (e.g. a tumor or any structure) and it is driven by minimal and intuitive user interaction.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents a new, parallel segmentation algorithm which enables radiologists to separate a region of interest from 2D or 3D images accurately and efficiently. This, in turn, enables fast and accurate area\/volume measurements as well as the extraction of statistics for the selected region. 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