Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules

Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules

Abstract Background To develop a fully automated CNN detection system based on magnetic resonance imaging (MRI) for ACL injury, and to explore the feasibility of CNN for ACL injury detection on MRI images. Methods Including 313 patients aged 16 – 65 years old, the raw data are 368 pieces with injure...

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Bibliographic Details
Main Authors: Chen Liang, Xiang Li, Yong Qin, Minglei Li, Yingkai Ma, Ren Wang, Xiangning Xu, Jinping Yu, Songcen Lv, Hao Luo
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Medical Imaging
Subjects:
Anterior cruciate ligament (ACL) injury
Convolutional neural network (CNN)
Magnetic resonance imaging (MRI)
Artificial intelligence (AI)
Online Access:https://doi.org/10.1186/s12880-023-01091-6

Internet

https://doi.org/10.1186/s12880-023-01091-6

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