Automatic segmentation of myocardium from black-blood MR images using entropy and local neighborhood information.
By using entropy and local neighborhood information, we present in this study a robust adaptive Gaussian regularizing Chan-Vese (CV) model to segment the myocardium from magnetic resonance images with intensity inhomogeneity. By utilizing the circular Hough transformation (CHT) our model is able to...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0120018 |