Automated Classification of Cervical Spinal Stenosis using Deep Learning on CT Scans

The DL model developed in this study demonstrated high accuracy in CT image analysis of CSS, with a diagnostic performance comparable to that of senior physicians.

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Publication Details

Journal
Spine
Published
2025-06-03
DOI
https://doi.org/10.1097/brs.0000000000005414
Citations
1
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.67
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article

Automated Classification of Cervical Spinal Stenosis using Deep Learning on CT Scans

Hua-Lin Li, Xin-Xiao Lin, Jiawei Huang, Hao-Bo Ye et al.
1 citations
Spine
Medical Imaging and Analysis
0.67
article

Automated Classification of Cervical Spinal Stenosis using Deep Learning on CT Scans

Hua-Lin Li, Xin-Xiao Lin, Jiawei Huang, Hao-Bo Ye, Naifeng Tian, Kaiyu Li, Yulong Zhang, Yuhan Chen
article en
1 citations

Abstract

The DL model developed in this study demonstrated high accuracy in CT image analysis of CSS, with a diagnostic performance comparable to that of senior physicians.

Spine
Wenzhou Medical University (CN), Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University (CN)
Openalex Percentile: Top 31%
Medical Imaging and Analysis
0.67
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