An Open-Source, User-Friendly Machine-Learning Method for Automated Segmentation and Analysis of Peripheral Nerve Cross-Sections.
Journal:
Plastic and reconstructive surgery
Published Date:
Jan 22, 2025
Abstract
BACKGROUND: Quantitative neuromorphometric analysis of the peripheral nerve is paramount to nerve regeneration research. However, this technique relies upon accurate segmentation and determination of myelin and axonal area. Manual histologic analysis methods are time-consuming and subject to error and bias. The authors demonstrate and validate a user-friendly method relying on open-source machine-learning software and requiring no coding knowledge.
