Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

The proposed two-stage framework, which integrates semantic segmentation with coordinate-based classification, enables accurate automated recognition of lumbar ultrasound views. By explicitly modeling key anatomical landmarks and their spatial relationships, this approach reduces reliance on operator experience and may support safer and more efficient ultrasound-guided lumbar procedures. Future work will focus on expanding the dataset and validating the generalizability of the method across diverse clinical settings.

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Publication Details

Journal
Frontiers in Radiology
Published
2026-02-12
DOI
https://doi.org/10.3389/fradi.2026.1721194
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

JianGang Chen, Dongpo Wei, Xulei Cui, Qiming Huang et al.
Frontiers in Radiology
Medical Imaging and Analysis
article

Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

JianGang Chen, Dongpo Wei, Xulei Cui, Qiming Huang, Qing Yuan, Xiuyu Zheng, Haowen Wang, Yiyan Xu, Caibao Hu
article en

Abstract

The proposed two-stage framework, which integrates semantic segmentation with coordinate-based classification, enables accurate automated recognition of lumbar ultrasound views. By explicitly modeling key anatomical landmarks and their spatial relationships, this approach reduces reliance on operator experience and may support safer and more efficient ultrasound-guided lumbar procedures. Future work will focus on expanding the dataset and validating the generalizability of the method across diverse clinical settings.

Frontiers in RadiologyVol. 6
Shanghai Jiao Tong University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Precision for Medicine (United States) (US), Robotics Research (United States) (US), Zhejiang Hospital (CN), Zhongshan Hospital of Xiamen University (CN), Zhongshan Hospital (CN), Shanghai First People's Hospital (CN), Shenzhen Institute for Drug Control (CN), Taiyuan University of Science and Technology (CN), East China Normal University (CN), Xi’an Jiaotong-Liverpool University (CN)
Chinese Academy of Medical Sciences
Quality Education
Openalex Percentile: Top 59%
Medical Imaging and Analysis
DOIOpen Access PDFOpenAlex
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Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method — JianGang Chen, Dongpo Wei, et al. · Frontiers in Radiology (2026) | TGRS Research Map | TGRS