Documentation/Nightly/Modules/LASegmenter

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Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. Contributor: LiangJia Zhu, University of Alabama at Birmingham Contributor: Yi Gao, Brigham and Women's Hospital Contributor: Josh Cates, University of Utah Contributor: Alan Morris, University of Utah Contributor: Danny Perry, University of Utah Contributor: Greg Gardner, University of Utah Contributor: Rob MacLeod, University Utah Contributor: Allen Tannenbaum, University of Alabama at Birmingham Contact: LiangJia Zhu, <email>ljzhu@uab.edu</email>

National Alliance for Medical Image Computing (NA-MIC)   The University of Alabama at Birmingham   Psychiatry Neuroimaging Laboratory (PNL)   Scientific Computing and Imaging Institute (SCI)

Tutorials

1. Load source image
   

Panels and their use

NA

References

L. Zhu, Y. Gao, A. Yezzi, R. MacLeod, J. Cates, A. Tannenbaum. Automatic Segmentation of the Left Atrium from MRI Images Using Salient Feature and Contour Evolution, IEEE Engineering in Medicine and Biology Conference(EMBC), 2012.