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Deep learning-based lightweight model for automated lumbar foraminal stenosis classification: sagittal CT diagnostic performance compared to clinical subspecialists.

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Title: Deep learning-based lightweight model for automated lumbar foraminal stenosis classification: sagittal CT diagnostic performance compared to clinical subspecialists.
Authors: Huang JW; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Zhang YL; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Li KY; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Li HL; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Ye HB; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Chen YH; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Lin XX; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China., Tian NF; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. tiannaifeng@163.com.
Source: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2026 Feb; Vol. 35 (2), pp. 583-590. Date of Electronic Publication: 2025 Aug 23.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Deep learning-based lightweight model for automated lumbar foraminal stenosis classification: sagittal CT diagnostic performance compared to clinical subspecialists.
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  Data: <searchLink fieldCode="AU" term="%22Huang+JW%22">Huang JW</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YL%22">Zhang YL</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+KY%22">Li KY</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Li+HL%22">Li HL</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Ye+HB%22">Ye HB</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+YH%22">Chen YH</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Lin+XX%22">Lin XX</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Tian+NF%22">Tian NF</searchLink>; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. tiannaifeng@163.com.
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  Data: <searchLink fieldCode="JN" term="%229301980%22">European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society</searchLink> [Eur Spine J] 2026 Feb; Vol. 35 (2), pp. 583-590. <i>Date of Electronic Publication: </i>2025 Aug 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag%22">Springer-Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9301980 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-0932 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209406719%22">09406719 </searchLink><i>NLM ISO Abbreviation: </i>Eur Spine J <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00586-025-09281-2
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        Text: English
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      – TitleFull: Deep learning-based lightweight model for automated lumbar foraminal stenosis classification: sagittal CT diagnostic performance compared to clinical subspecialists.
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            NameFull: Huang JW
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            – D: 01
              M: 02
              Text: 2026 Feb
              Type: published
              Y: 2026
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              Value: 1432-0932
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            – TitleFull: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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