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- W2588722255 abstract "During surgery and radiation therapy,demands for higher quality of quantification and visualization of cerebral vessels need to be met.Hence,automatic (or semi-automatic) extractions of accurate cerebral vessel information seem particularly important.This paper reviews the cerebral vessel segmentation methods used in recent years,including statistics-based segmentation,deformable model,multi-scale method,prior knowledgebased method,and so on.The methods are divided into the following three categories:voxel intensity based approach,vascular tubular structure based approach,and prior knowledge-based approach.Key words: Cerebral vessel; Image segmentation; Voxel intensity; Vascular tubular structure; Prior knowledge" @default.
- W2588722255 created "2017-02-24" @default.
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- W2588722255 date "2009-02-28" @default.
- W2588722255 modified "2023-09-27" @default.
- W2588722255 title "Segmentation of 3D image of cerebral vessel" @default.
- W2588722255 doi "https://doi.org/10.3760/cma.j.issn.1673-4181.2009.01.009" @default.
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