Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis-Reference-Cited by-同舟云学术

Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis

Published:2018-09-03 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Kim Kiwook^ORCID,Kim Sungwon,Lee Young Han,Lee Seung Hyun,Lee Hye Sun^ORCID,Kim Sungjun^ORCID

Funder

Ministry of Science, ICT and Future Planning (MSIP)

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-31486-3.pdf

Reference37 articles.

1. Cottle, L. & Riordan, T. Infectious spondylodiscitis. Journal of Infection 56, 401–412 (2008).

2. Garg, R. K. et al. Evaluation of prognostic factors in medically treated patients of spinal tuberculosis. Rheumatol Int 33, 3009–3015, https://doi.org/10.1007/s00296-013-2841-x (2013).

3. Jung, N. Y., Jee, W. H., Ha, K. Y., Park, C. K. & Byun, J. Y. Discrimination of tuberculous spondylitis from pyogenic spondylitis on MRI. AJR Am J Roentgenol 182, 1405–1410, https://doi.org/10.2214/ajr.182.6.1821405 (2004).

4. Harada, Y., Tokuda, O. & Matsunaga, N. Magnetic resonance imaging characteristics of tuberculous spondylitis vs. pyogenic spondylitis. Clin Imaging 32, 303–309, https://doi.org/10.1016/j.clinimag.2007.03.015 (2008).

5. Chang, M. C., Wu, H. T., Lee, C. H., Liu, C. L. & Chen, T. H. Tuberculous spondylitis and pyogenic spondylitis: comparative magnetic resonance imaging features. Spine (Phila Pa 1976) 31, 782–788, https://doi.org/10.1097/01.brs.0000206385.11684.d5 (2006).

Cited by 41 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. Applications of Artificial Intelligence and Machine Learning in Spine MRI;Bioengineering;2024-09-05

2. Artificial Intelligence Measurement of Preoperative Radiographs in Adolescent Idiopathic Scoliosis Based on Multiple-View Semantic Segmentation;Global Spine Journal;2024-08-07

3. Pediatric Wrist;Seminars in Musculoskeletal Radiology;2024-07-29

4. Artificial Intelligence in Spinal Imaging and Patient Care: A Review of Recent Advances;Neurospine;2024-06-30

5. Imaging of Spondylodiscitis: A Comprehensive Updated Review—Multimodality Imaging Findings, Differential Diagnosis, and Specific Microorganisms Detection;Microorganisms;2024-04-29