@inproceedings{d8bd3c72421f4068ac127222c438f456,
title = "Left ventricular segmentation challenge from cardiac MRI: A collation study",
abstract = "This paper presents collated results from the left ventricular (LV) cardiac MRI segmentation challenge as part of STACOM'11. Clinical cases from patients with myocardial infarction (100 test and 100 validation cases) were randomly selected from the Cardiac Atlas Project (CAP) database. Two independent sets of expert (manual) segmentation from different sources that are available from the CAP database were included in this study. Automated segmentations from five groups were contributed in the challenge. The total number of cases with segmentations from all seven raters was 18. For these cases, a ground truth {"}consensus{"} segmentation was estimated based on all raters using an Expectation-Maximization (EM) method (the STAPLE algorithm).",
author = "Avan Suinesiaputra and Cowan, {Brett R.} and Finn, {J. Paul} and Fonseca, {Carissa G.} and Kadish, {Alan H.} and Lee, {Daniel C.} and Pau Medrano-Gracia and Warfield, {Simon K.} and Wenchao Tao and Young, {Alistair A.}",
year = "2012",
month = mar,
day = "21",
doi = "10.1007/978-3-642-28326-0_9",
language = "English (US)",
isbn = "9783642283253",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "88--97",
booktitle = "Statistical Atlases and Computational Models of the Heart",
note = "2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011 ; Conference date: 22-09-2011 Through 22-09-2011",
}