Morphological characterization of median nerve and transverse carpal ligament from ultrasound images using convolutional neural networks

CNNs were used to automatically segment the median nerve and TCL with high accuracy. The model predictions provided reliable quantification of the carpal tunnel anatomy, demonstrating the potential diagnostic value using CNNs.

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Publication Details

Journal
Medical Engineering & Physics
Published
2025-06-18
DOI
https://doi.org/10.1016/j.medengphy.2025.104383
Primary Topic
Peripheral Nerve Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Morphological characterization of median nerve and transverse carpal ligament from ultrasound images using convolutional neural networks

Jocelyn L. Hawk, Zong‐Ming Li, Xiaoxiao Sun, Shalon Walter
Medical Engineering & Physics
Peripheral Nerve Disorders
article

Morphological characterization of median nerve and transverse carpal ligament from ultrasound images using convolutional neural networks

Jocelyn L. Hawk, Zong‐Ming Li, Xiaoxiao Sun, Shalon Walter
article en

Abstract

CNNs were used to automatically segment the median nerve and TCL with high accuracy. The model predictions provided reliable quantification of the carpal tunnel anatomy, demonstrating the potential diagnostic value using CNNs.

Medical Engineering & PhysicsVol. 143(1)
University of Arizona (US), Arizona Research Center (US)
University of Arizona
Zero hunger
Openalex Percentile: Top 79%
Peripheral Nerve Disorders
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