ArticleUltrasound in medicine & biology2021
Automated Segmentation of the Median Nerve in the Carpal Tunnel using U-Net.
Article in Ultrasound in medicine & biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Effects of convolutional neural network models on the segmentation of the interscalene brachial plexus in ultrasound imaging for radiomics.Quantitative imaging in medicine and surgery · 2026Article
- Automated Segmentation of Diffuse and Multifocal Nerve Enlargement in Immune-Mediated Neuropathy Using Temporal Deep Learning on Continuous Ultrasound Scans.Diagnostics (Basel, Switzerland) · 2026Article
- Automated Segmentation of Median Nerve Cross-Sectional Area in Healthy Controls and Patients With Carpal Tunnel Syndrome Using a Convolutional Neural Network.Muscle & nerve · 2026Article
- Utilization of a Deep Learning Algorithm for Automated Segmentation of Median Nerve from Ultrasound Obtained from the Distal Forearm and Wrist.Bioengineering (Basel, Switzerland) · 2025Article
- Effectiveness of Comprehensive Video Datasets: Toward the Development of an Artificial Intelligence Model for Ultrasonography-Based Severity Diagnosis of Carpal Tunnel Syndrome.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025Article
- Artificial intelligence in plastic surgery, where do we stand?JPRAS open · 2024Review
- Automatic Segmentation and Assessment of Valvular Regurgitations with Color Doppler Echocardiography Images: A VABC-UNet-Based Framework.Bioengineering (Basel, Switzerland) · 2023Article
- Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques.Diagnostics (Basel, Switzerland) · 2023Article
- A deep learning approach to median nerve evaluation in ultrasound images of carpal tunnel inlet.Medical & biological engineering & computing · 2022Article
- Attention-VGG16-UNet: a novel deep learning approach for automatic segmentation of the median nerve in ultrasound images.Quantitative imaging in medicine and surgery · 2022Article
- Automated Segmentation of Median Nerve in Dynamic Sonography Using Deep Learning: Evaluation of Model Performance.Diagnostics (Basel, Switzerland) · 2021Article
- From Visualization to Automation: A Narrative Review of Deep Learning's Impact on Ultrasound-based Median Nerve Assessment.Journal of medical ultrasoundReview
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Authors and funding
3 authors.
Funding
Abstract
Nerve area and motion in carpal tunnel syndrome (CTS) are currently under investigation in terms of prognostic potential. Therefore, there is increasing interest in non-invasive measurement of the nerve using ultrasound. Manual segmentation is time consuming and subject to inter-rater variation, providing an opportunity for automation. Dynamic ultrasound images (n = 5560) of carpal tunnels from 99 clinically diagnosed CTS patients were used to train a U-Net-shaped neural network. The best results from the U-Net were achieved with a location primer as initial region of interest for the segmentations during finger flexion (Dice coefficient = 0.88). This is comparable to the manual Dice measure of 0.92 and higher than the resulting automated Dice measure of wrist flexion (0.81). Although there is a dependency on image quality, a trained U-Net can reliably be used in the assessment of ultrasound-acquired median nerve size and mobility, considerably decreasing manual effort.
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