Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach

Automatic segmentation of skeletal muscles from MR images using modified U-Net and a novel data augmentation approach

Rapid and accurate muscle segmentation is essential for the diagnosis and monitoring of many musculoskeletal diseases. As gold standard, manual annotation suffers from intensive labor and high inter-operator reproducibility errors. In this study, deep learning (DL) based automatic muscle segmentatio...

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Bibliographic Details
Main Authors: Zhicheng Lin, William H. Henson, Lisa Dowling, Jennifer Walsh, Enrico Dall’Ara, Lingzhong Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
muscle
neural network
deep learning
automatic segmentation
data augmentation
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1355735/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2024.1355735/full

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