Evaluation and comparison of automatic intervertebral disc localization and segmentation methods with 3D multi-modality MR images: a grand challenge

Zeng, Guodong, Belavy, Daniel, Li, Shuo and Zheng, Guoyan 2019, Evaluation and comparison of automatic intervertebral disc localization and segmentation methods with 3D multi-modality MR images: a grand challenge, in CSI 2018 : Proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging 2018, Springer, Cham, Switzerland, pp. 163-171, doi: 10.1007/978-3-030-13736-6_14.


Title Evaluation and comparison of automatic intervertebral disc localization and segmentation methods with 3D multi-modality MR images: a grand challenge
Author(s) Zeng, Guodong
Belavy, DanielORCID iD for Belavy, Daniel orcid.org/0000-0002-9307-832X
Li, Shuo
Zheng, Guoyan
Conference name Medical Image Computing and Computer Assisted Intervention Society. Workshop and Challenge (5th : 2018 : Granada, Spain)
Conference location Granada, Spain
Conference dates 2018/09/16 - 2018/09/16
Title of proceedings CSI 2018 : Proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging 2018
Editor(s) Zheng, Guoyan
Belavy, DanielORCID iD for Belavy, Daniel orcid.org/0000-0002-9307-832X
Cai, Yunliang
Li, Shuo
Publication date 2019
Series Medical Image Computing and Computer Assisted Intervention Society Workshop and Challenge
Start page 163
End page 171
Total pages 9
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Intervertebral disc
MRI
Localization
Segmentation
Multi-modality
Challenge
ISBN 9783030137359
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-13736-6_14
Field of Research 080699 Information Systems not elsewhere classified
08 Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2019, Springer Nature Switzerland AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30123388

Document type: Conference Paper
Collections: Faculty of Health
School of Exercise and Nutrition Sciences
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