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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2667241325000138

Similar Items