Book chapter 901 views 296 downloads
Neural Network Boundary Detection for 3D Vessel Segmentation
Advanced Concepts for Intelligent Vision Systems, Volume: 10016, Pages: 25 - 36
Swansea University Author: Xianghua Xie
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DOI (Published version): 10.1007/978-3-319-48680-2_3
Abstract
In this paper we investigate the performance of NN architectures for the purpose of boundary detection, before integrating a chosen architecture in a data-driven deformable modelling framework for full segmentation.
Published in: | Advanced Concepts for Intelligent Vision Systems |
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ISBN: | 978-3-319-48679-6 978-3-319-48680-2 |
Published: |
2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa32106 |
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2017-04-26T17:39:53.0861588 v2 32106 2017-02-24 Neural Network Boundary Detection for 3D Vessel Segmentation b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2017-02-24 SCS In this paper we investigate the performance of NN architectures for the purpose of boundary detection, before integrating a chosen architecture in a data-driven deformable modelling framework for full segmentation. Book chapter Advanced Concepts for Intelligent Vision Systems 10016 25 36 978-3-319-48679-6 978-3-319-48680-2 Neural network, image segmentation, medical image analysis 31 10 2016 2016-10-31 10.1007/978-3-319-48680-2_3 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2017-04-26T17:39:53.0861588 2017-02-24T23:38:51.8269712 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Robert Ieuan Palmer 1 Xianghua Xie 0000-0002-2701-8660 2 0032106-21032017092225.pdf acivs16rp.pdf 2017-03-21T09:22:25.7270000 Output 2957667 application/pdf Accepted Manuscript true 2016-10-01T00:00:00.0000000 true eng |
title |
Neural Network Boundary Detection for 3D Vessel Segmentation |
spellingShingle |
Neural Network Boundary Detection for 3D Vessel Segmentation Xianghua Xie |
title_short |
Neural Network Boundary Detection for 3D Vessel Segmentation |
title_full |
Neural Network Boundary Detection for 3D Vessel Segmentation |
title_fullStr |
Neural Network Boundary Detection for 3D Vessel Segmentation |
title_full_unstemmed |
Neural Network Boundary Detection for 3D Vessel Segmentation |
title_sort |
Neural Network Boundary Detection for 3D Vessel Segmentation |
author_id_str_mv |
b334d40963c7a2f435f06d2c26c74e11 |
author_id_fullname_str_mv |
b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie |
author |
Xianghua Xie |
author2 |
Robert Ieuan Palmer Xianghua Xie |
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Book chapter |
container_title |
Advanced Concepts for Intelligent Vision Systems |
container_volume |
10016 |
container_start_page |
25 |
publishDate |
2016 |
institution |
Swansea University |
isbn |
978-3-319-48679-6 978-3-319-48680-2 |
doi_str_mv |
10.1007/978-3-319-48680-2_3 |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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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 |
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description |
In this paper we investigate the performance of NN architectures for the purpose of boundary detection, before integrating a chosen architecture in a data-driven deformable modelling framework for full segmentation. |
published_date |
2016-10-31T03:39:17Z |
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1763751764023050240 |
score |
11.0267 |