Automated detection of anterior cruciate ligament tears using a deep convolutional neural network

Automated detection of anterior cruciate ligament tears using a deep convolutional neural network

Abstract Background The development of computer-assisted technologies to diagnose anterior cruciate ligament (ACL) injury by analyzing knee magnetic resonance images (MRI) would be beneficial, and convolutional neural network (CNN)-based deep learning approaches may offer a solution. This study aime...

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Bibliographic Details
Main Authors: Yusuke Minamoto, Ryuichiro Akagi, Satoshi Maki, Yuki Shiko, Ryosuke Tozawa, Seiji Kimura, Satoshi Yamaguchi, Yohei Kawasaki, Seiji Ohtori, Takahisa Sasho
Format: Article
Language:English
Published: BMC 2022-06-01
Series:BMC Musculoskeletal Disorders
Subjects:
Deep learning
Machine learning
Artificial intelligence
Anterior cruciate ligament
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s12891-022-05524-1

Internet

https://doi.org/10.1186/s12891-022-05524-1

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