Automatic Localization and Segmentation of Vertebral Bodies in 3D CT Volumes with Deep Learning-Reference-Cited by-同舟云学术

Automatic Localization and Segmentation of Vertebral Bodies in 3D CT Volumes with Deep Learning

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine - ISICDM 2018
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Author:

Shi Dejun¹,Pan Yaling²,Liu Chunlei¹,Wang Yao¹,Cui Deqi¹,Lu Yong²

Affiliation:

1. LinkingMed, Haidian District, Beijing, China

2. Department of Radiology, RuiJin Hospital Shanghai Jiao Tong University, School of Medicine, Shanghai, China

Funder

Project of Shanghai Jiao Tong University ?Medical-Engineering Cross Fund?

Project of the National Natural Science Foundation of China

Magnetic Resonance (MR)-Dominated Joint Replacement Imaging Evaluation System Research and Clinical Application

Publisher

ACM Press

Reference14 articles.

1. Litjens, G. 2017. A survey on deep learning in medical image analysis. Medical Image Analysis. (2017), 29.

2. Glocker, B. et al. 2012. Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012. N. Ayache et al., eds. Springer Berlin Heidelberg. 590--598.

3. Yang, D. et al. 2017. Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. arXiv:1705.05998 [cs]. (May 2017).

4. Courbot, J.-B. et al. 2016. Vertebra segmentation based on two-step refinement. Journal of Computational Surgery. 4, 1 (Dec. 2016). DOI:https://doi.org/10.1186/s40244--016-0018--0.

5. Lessmann, N. et al. 2018. Iterative fully convolutional neural networks for automatic vertebra segmentation. arXiv:1804.04383 [cs]. (Apr. 2018).

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