The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning

The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning

Abstract This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint injuries (SJIs) in swimmers. A novel multi-scale feature fusion network (MSFFN) is developed by optimizing and integrating the Alex...

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Bibliographic Details
Main Authors: Lina Dai, Md Gapar Md Johar, Mohammed Hazim Alkawaz
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Deep learning
MSFFN algorithm
MRI image segmentation
Swimmers
Shoulder joint injuries
Diagnosis
Online Access:https://doi.org/10.1038/s41598-024-80441-y
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https://doi.org/10.1038/s41598-024-80441-y

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