Automated Segmentation of Stellate Ganglion Block Region in Ultrasound Images Using Deep Learning Model

MLFUNet outperforms 5 benchmark models and nonexpert clinicians for automated ultrasound segmentation of the SGB region, achieving expert‑level region overlap with a modest deficit in boundary precision.

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Publication Details

Journal
Anesthesia & Analgesia
Published
2026-02-16
DOI
https://doi.org/10.1213/ane.0000000000007938
Primary Topic
Pain Management and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Segmentation of Stellate Ganglion Block Region in Ultrasound Images Using Deep Learning Model

shuangshuang li, H Q Liu, Yilei Shen, Wenna Zhang et al.
Anesthesia & Analgesia
Pain Management and Treatment
article

Automated Segmentation of Stellate Ganglion Block Region in Ultrasound Images Using Deep Learning Model

shuangshuang li, H Q Liu, Yilei Shen, Wenna Zhang, Lili Feng, Yuan Han, Wenxian Li, Weixiong Chen, Yu Tian
article en

Abstract

MLFUNet outperforms 5 benchmark models and nonexpert clinicians for automated ultrasound segmentation of the SGB region, achieving expert‑level region overlap with a modest deficit in boundary precision.

Anesthesia & Analgesia
University of Shanghai for Science and Technology (CN), Eye & ENT Hospital of Fudan University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 53%
Pain Management and Treatment
DOISourceOpenAlex
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