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Shape and appearance priors for level set-based left ventricle segmentation

Ronghua Yang, Majid Mirmehdi, Xianghua Xie Orcid Logo, David Hall

IET Computer Vision, Volume: 7, Issue: 3, Pages: 170 - 183

Swansea University Author: Xianghua Xie Orcid Logo

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DOI (Published version): 10.1049/iet-cvi.2012.0081

Published in: IET Computer Vision
ISSN: 1751-9632 1751-9640
Published: 2013
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa20962
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first_indexed 2015-04-30T02:04:14Z
last_indexed 2019-06-10T13:41:17Z
id cronfa20962
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spelling 2019-06-10T12:24:02.7806088 v2 20962 2015-04-29 Shape and appearance priors for level set-based left ventricle segmentation b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2015-04-29 SCS Journal Article IET Computer Vision 7 3 170 183 1751-9632 1751-9640 31 12 2013 2013-12-31 10.1049/iet-cvi.2012.0081 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2019-06-10T12:24:02.7806088 2015-04-29T16:42:46.4512821 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Ronghua Yang 1 Majid Mirmehdi 2 Xianghua Xie 0000-0002-2701-8660 3 David Hall 4
title Shape and appearance priors for level set-based left ventricle segmentation
spellingShingle Shape and appearance priors for level set-based left ventricle segmentation
Xianghua Xie
title_short Shape and appearance priors for level set-based left ventricle segmentation
title_full Shape and appearance priors for level set-based left ventricle segmentation
title_fullStr Shape and appearance priors for level set-based left ventricle segmentation
title_full_unstemmed Shape and appearance priors for level set-based left ventricle segmentation
title_sort Shape and appearance priors for level set-based left ventricle segmentation
author_id_str_mv b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Xianghua Xie
author2 Ronghua Yang
Majid Mirmehdi
Xianghua Xie
David Hall
format Journal article
container_title IET Computer Vision
container_volume 7
container_issue 3
container_start_page 170
publishDate 2013
institution Swansea University
issn 1751-9632
1751-9640
doi_str_mv 10.1049/iet-cvi.2012.0081
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2013-12-31T03:24:48Z
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score 10.998753

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