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. © 2013 Springer-Verlag.
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Karim, R., Claus, P., Chen, Z., Housden, R. J., Obom, S., Gill, H., … Rhode, K. S. (2013). Infarct segmentation challenge on delayed enhancement MRI of the left ventricle. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7746 LNCS, pp. 97–104). https://doi.org/10.1007/978-3-642-36961-2_12
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