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Automated 3D Segmentation of Human Vagus Nerve Fascicles and Epineurium from Micro-Computed Tomography Images Using Anatomy-Aware Neural Networks

2025-06-15

Abstract excerpt

<h4>Objective: </h4> Precise segmentation and quantification of nerve morphology from imaging data are critical for designing effective and selective peripheral nerve stimulation (PNS) therapies. However, prior studies on nerve morphology segmentation suffer from important limitations in both accuracy and efficiency. This study introduces a deep learning approach for robust and automated 3D segmentation of human v...

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Literature Corpus work
a38a48cd-cf02-57df-bb91-f2de49a86188
DOI
10.1101/2025.06.12.659370
Open publication

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Automated 3D Segmentation of Human Vagus Nerve Fascicles and Epineurium from Micro-Computed Tomography Images Using Anatomy-Aware Neural NetworksDOI 10.1101/2025.06.12.659370
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