A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI.
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| Title: | A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI. |
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| Authors: | Tabarestani M; 1Neuraitex Research Center, School of Electrical and Computer Engineering, College of Engineering, University of Tehran., Delfan N; 1Neuraitex Research Center, School of Electrical and Computer Engineering, College of Engineering, University of Tehran.; 2School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran., Khoshnevisan M; 3Physics Department, College of Science, Northeastern University, Boston, Massachusetts.; 4Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Antalya Bilim University, Antalya, Turkey., Hatam Parikhan J; 5Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran., Bahri A; 6Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran; and., Hessam A; 5Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran., Nabiuni M; 5Department of Neurosurgery, School of Medicine, Iran University of Medical Sciences, Tehran., Moshiri B; 2School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran.; 7Department of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada. |
| Source: | Journal of neurosurgery. Spine [J Neurosurg Spine] 2026 Mar 27; Vol. 44 (6), pp. 847-857. Date of Electronic Publication: 2026 Mar 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Association of Neurological Surgeons Country of Publication: United States NLM ID: 101223545 Publication Model: Electronic Cited Medium: Internet ISSN: 1547-5646 (Electronic) Linking ISSN: 15475646 NLM ISO Abbreviation: J Neurosurg Spine Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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