MGACA-Net: a novel deep learning based multi-scale guided attention and context aggregation for localization of knee anterior cruciate ligament tears region in MRI images

MGACA-Net: a novel deep learning based multi-scale guided attention and context aggregation for localization of knee anterior cruciate ligament tears region in MRI images

Anterior cruciate ligament (ACL) tears are a common knee injury that can have serious consequences and require medical intervention. Magnetic resonance imaging (MRI) is the preferred method for ACL tear diagnosis. However, manual segmentation of the ACL in MRI images is prone to human error and can...

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Bibliographic Details
Main Authors: Mazhar Javed Awan, Mohd Shafry Mohd Rahim, Naomie Salim, Haitham Nobanee, Ahsen Ali Asif, Muhammad Ozair Attiq
Format: Article
Language:English
Published: PeerJ Inc. 2023-07-01
Series:PeerJ Computer Science
Subjects:
Knee bone
Anterior cruciate ligament
Magnetic resonance imaging
Deep learning
Segmentation
Attention
Online Access:https://peerj.com/articles/cs-1483.pdf

Internet

https://peerj.com/articles/cs-1483.pdf

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