Enhanced deep leaning model for detection and grading of lumbar disc herniation from MRI
Author:
Funder
Hubei Provincial Natural Science Foundation Committee General Project
Science and Technology Support Plan Project of Guizhou Province in 2021
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11517-024-03161-5.pdf
Reference18 articles.
1. Carlson BB, Albert TJ (2019) Lumbar disc herniation: what has the Spine Patient Outcomes Research Trial taught us. Int Orthop 43:853–859
2. Strömqvist F, Strömqvist B, Jönsson B et al (2017) Surgical treatment of lumbar disc herniation in different ages—evaluation of 11,237 patients. Spine J 17(11):1577–1585
3. Chanu MM, Singh NH, Muppala C et al (2023) Computer-aided detection and classification of brain tumor using YOLOv3 and deep learning. Soft Comput 27(14):9927–9940
4. Hou C, Li X, Wang H et al (2023) An MRI image automatic diagnosis model for lumbar disc herniation using semi-supervised learning. Complex Intell Syst 1–18
5. Šušteršič T, Ranković V, Milovanović V et al (2022) A deep learning model for automatic detection and classification of disc herniation in magnetic resonance images. IEEE J Biomed Health Inform 26(12):6036–6046
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