3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset

3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset

Quantitative MRI combines non-invasive imaging techniques to reveal alterations in muscle pathophysiology. Creating muscle-specific labels manually is time consuming and requires an experienced examiner. Semi-automatic and fully automatic methods reduce segmentation time significantly. Current machi...

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Bibliographic Details
Main Authors: Marlena Rohm, Marius Markmann, Johannes Forsting, Robert Rehmann, Martijn Froeling, Lara Schlaffke
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
qMRI
muscle segmentation
machine learning
Online Access:https://www.mdpi.com/2075-4418/11/10/1747

Internet

https://www.mdpi.com/2075-4418/11/10/1747

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