Deep learning approach for anterior cruciate ligament lesion detection: evaluation of diagnostic performance using arthroscopy as the reference standard
L Zhang, M Li, Y Zhou, G Lu… - Journal of Magnetic …, 2020 - Wiley Online Library
Background MRI is the most commonly used imaging method for diagnosing anterior
cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time‐intensive …
cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time‐intensive …
A deep learning model enhances clinicians' diagnostic accuracy to more than 96% for anterior cruciate ligament ruptures on magnetic resonance imaging
D Wang, S Liu, J Ding, A Sun, D Jiang, J Jiang… - … : The Journal of …, 2024 - Elsevier
Purpose To develop a deep learning model to accurately detect anterior cruciate ligament
(ACL) ruptures on magnetic resonance imaging (MRI) and to evaluate its effect on the …
(ACL) ruptures on magnetic resonance imaging (MRI) and to evaluate its effect on the …
Fully automated diagnosis of anterior cruciate ligament tears on knee MR images by using deep learning
F Liu, B Guan, Z Zhou, A Samsonov… - Radiology: Artificial …, 2019 - pubs.rsna.org
Purpose To investigate the feasibility of using a deep learning–based approach to detect an
anterior cruciate ligament (ACL) tear within the knee joint at MRI by using arthroscopy as the …
anterior cruciate ligament (ACL) tear within the knee joint at MRI by using arthroscopy as the …
Automated detection of anterior cruciate ligament tears using a deep convolutional neural network
Y Minamoto, R Akagi, S Maki, Y Shiko… - BMC Musculoskeletal …, 2022 - Springer
Background The development of computer-assisted technologies to diagnose anterior
cruciate ligament (ACL) injury by analyzing knee magnetic resonance images (MRI) would …
cruciate ligament (ACL) injury by analyzing knee magnetic resonance images (MRI) would …
Deep learning for detection of complete anterior cruciate ligament tear
PD Chang, TT Wong, MJ Rasiej - Journal of digital imaging, 2019 - Springer
Deep learning for MRI detection of sports injuries poses unique challenges. To address
these difficulties, this study examines the feasibility and incremental benefit of several …
these difficulties, this study examines the feasibility and incremental benefit of several …
Effective automatic detection of anterior cruciate ligament injury using convolutional neural network with two attention mechanism modules
C Liang, X Li, Y Qin, M Li, Y Ma, R Wang, X Xu… - BMC Medical …, 2023 - Springer
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 …
resonance imaging (MRI) for ACL injury, and to explore the feasibility of CNN for ACL injury …
Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach
M Javed Awan, MS Mohd Rahim, N Salim… - Diagnostics, 2021 - mdpi.com
The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
Deep learning to detect anterior cruciate ligament tear on knee MRI: multi-continental external validation
A Tran, L Lassalle, P Zille, R Guillin, E Pluot… - European …, 2022 - Springer
Objectives To develop a deep-learning algorithm for anterior cruciate ligament (ACL) tear
detection and to compare its accuracy using two external datasets. Methods A database of …
detection and to compare its accuracy using two external datasets. Methods A database of …
[PDF][PDF] MS; Salim, N.; Mohammed, MA; Garcia-Zapirain, B.; Abdulkareem, KH Efficient Detection of Knee Anterior Cruciate Ligament from Magnetic Resonance …
M Javed Awan, M Rahim - 2021 - academia.edu
The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
Deep learning for hierarchical severity staging of anterior cruciate ligament injuries from MRI
Purpose To evaluate the diagnostic utility of two convolutional neural networks (CNNs) for
severity staging of anterior cruciate ligament (ACL) injuries. Materials and Methods In this …
severity staging of anterior cruciate ligament (ACL) injuries. Materials and Methods In this …