A multi-view graph neural network approach for magnetic resonance imaging-based diagnosis of knee injuries

A multi-view graph neural network approach for magnetic resonance imaging-based diagnosis of knee injuries

The knee plays a pivotal role in the human anatomy, serving as a cornerstone for support, mobility, shock attenuation, and balance. Currently, magnetic resonance imaging (MRI) remains the preferred method for diagnosing knee injuries, including anterior cruciate ligament (ACL) tears and meniscal tea...

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Bibliographic Details
Main Authors: Biyong Deng, Jiashan Pan, Xiaoyu Tang, Haitao Fu, Shushan Hu
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-01-01
Series:Cognitive Robotics
Subjects:
Meniscal tear
Knee
Deep learning
Graph neural network
Magnetic resonance imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2667241325000138
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