Review of Deep Learning Models for Spine Segmentation-Reference-Cited by-同舟云学术

Review of Deep Learning Models for Spine Segmentation

Published:2022-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Zhou Neng¹,Wen Hairu²,Wang Yi¹,Liu Yang³,Zhou Longfei⁴

Affiliation:

1. Jiangnan University, Wuxi, China

2. China University of Mining and Technology(Beijing), Beijing, China

3. Beijing Wuzi University, Beijing, China

4. Massachusetts Institute of Technology, Cambridge, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3512527.3531356

Reference36 articles.

1. A. Kulkarni , R. Shevgaonkar , and S. Sahasrabudhe , " Edge detection using scale space knowledge," in Proceedings of TENCON'93 . IEEE Region 10 International Conference on Computers, Communications and Automation , vol. 2 . IEEE, 1993 , pp. 986 -- 990 . A. Kulkarni, R. Shevgaonkar, and S. Sahasrabudhe, "Edge detection using scale space knowledge," in Proceedings of TENCON'93. IEEE Region 10 International Conference on Computers, Communications and Automation, vol. 2. IEEE, 1993, pp. 986--990.

2. Automated lung segmentation in X-ray computed tomography

3. H. Gao , L. Dou , W. Chen , and G. Xie , " The applications of image segmentation techniques in medical ct images," in Proceedings of the 30th Chinese Control Conference . IEEE , 2011 , pp. 3296 -- 3299 . H. Gao, L. Dou, W. Chen, and G. Xie, "The applications of image segmentation techniques in medical ct images," in Proceedings of the 30th Chinese Control Conference. IEEE, 2011, pp. 3296--3299.

4. D. Gawel , P. Glówka , T. Kotwicki , and M. Nowak , " Automatic spine tissue segmentation from mri data based on cascade of boosted classifiers and active appearance model," BioMed research international , vol. 2018 , 2018 . D. Gawel, P. Glówka, T. Kotwicki, and M. Nowak, "Automatic spine tissue segmentation from mri data based on cascade of boosted classifiers and active appearance model," BioMed research international, vol. 2018, 2018.

5. Interactive foreground segmentation method using mean shift and graph cuts

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Spine Segmentation Algorithms on Clinical Data from Spectral CT of Patients with Multiple Myeloma;IFMBE Proceedings;2024

2. Segmentation Techniques for Detection of Tuberculosis Using Deep Learning: A Review;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

3. A Multi-views Models Ensemble Method for Thumb Trapeziometacarpal Joint Segmentation from Computed Tomography Images;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10

4. A survey on artificial intelligence in pulmonary imaging;WIREs Data Mining and Knowledge Discovery;2023-07-07

5. Budget-Aware Pruning for Multi-domain Learning;Image Analysis and Processing – ICIAP 2023;2023