Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge
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- 作者：Guoyan Zheng ; a ; guoyan.zheng@ieee.org" class="auth_mail" title="E-mail the corresponding author ; guoyan.zheng@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Chengwen Chua ; Daniel L. Belavý ; b ; c ; Bulat Ibragimovd ; e ; Robert Korezd ; Tomaž Vrtovecd ; Hugo Huttf ; Richard Eversonf ; Judith Meakinf ; Isabel Lŏpez Andradeg ; Ben Glockerg ; Hao Chenh ; Qi Douh ; Pheng-Ann Hengh ; Chunliang Wangi ; Daniel Forsbergi ; j ; Ale&scaron ; Neubertk ; l ; Jurgen Frippl ; Martin Urschlerm ; Darko Sternn ; Maria Wimmero ; Alexey A. Novikovo ; Hui Chenga ; Gabriele Armbrechtc ; Dieter Felsenbergc ; Shuo Li ; p ; slishuo@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Intervertebral disc ; MRI ; Localization ; Segmentation ; Challenge ; Evaluation
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：327-344
- 全文大小：5551 K
文摘
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Establish a standard framework with 25 manually annotated 3D T2 MRI data for an objective comparison of intervertebral disc (IVD) localization and segmentation methods.
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Investigate strengths and limitations of a representative selection of the state-of-the-art IVD localization and segmentation methods with a challenge setup.
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Results achieved by the best algorithms in this study set new frontiers for IVD localization and segmentation from MR data.
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