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Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle

  • 2013
  • OriginalPaper
  • Chapter
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Abstract

This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.

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Title
Infarct Segmentation Challenge on Delayed Enhancement MRI of the Left Ventricle
Authors
Rashed Karim
Piet Claus
Zhong Chen
R. James Housden
Samantha Obom
Harminder Gill
YingLiang Ma
Prince Acheampong
Mark O’Neill
Reza Razavi
Tobias Schaeffter
Kawal S. Rhode
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-36961-2_12

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