• Corpus ID: 8271216

An Effective Interactive Medical Image Segmentation Method Using Fast GrowCut

@inproceedings{Zhu2014AnEI,
  title={An Effective Interactive Medical Image Segmentation Method Using Fast GrowCut},
  author={Linagjia Zhu and Ivan Kolesov and Yi Gao and Ron Kikinis and Allen R. Tannenbaum},
  year={2014}
}
Segmentation of anatomical structures in medical imagery is a key step in a variety of clinical applications. Designing a generic, automated method that works for various structures and imaging modalities is a daunting task. In this paper, we present an effective interactive segmentation method that reformulates the GrowCut algorithm as a clustering problem and computes a fast, approximate solution. The method is further improved by using an efficient updating scheme requiring only local… 

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