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Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation

Leo Grady, Thomas Schiwietz, Shmuel Aharon, Rudiger Westermann
Department of Imaging and Visualization, Siemens Corporate Research, 755 College Rd. East, Princeton, NJ, USA
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005, Lecture Notes in Computer Science, 2005, Volume 3750/2005, 773-780

@article{grady2005random,

   title={Random walks for interactive organ segmentation in two and three dimensions: Implementation and validation},

   author={Grady, L. and Schiwietz, T. and Aharon, S. and Westermann, R.},

   journal={Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005},

   pages={773–780},

   year={2005},

   publisher={Springer}

}

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A new approach to interactive segmentation based on random walks was recently introduced that shows promise for allowing physicians more flexibility to segment arbitrary objects in an image. This report has two goals: To introduce a novel computational method for applying the random walker algorithm in 2D/3D using the Graphics Processing Unit (GPU) and to provide quantitative validation studies of this algorithm relative to different targets, imaging modalities and interaction strategies.
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