AIMC Topic: Meniscus

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Systematic review of artificial intelligence development and evaluation for MRI diagnosis of knee ligament or meniscus tears.

Skeletal radiology Aug 16, 2023
OBJECTIVE: The purpose of this systematic review was to summarize the results of original research studies evaluating the characteristics and performance of deep learning models for detection of knee ligament and meniscus tears on MRI.
Humans Anterior Cruciate Ligament Injuries Meniscus Ligaments, Articular Artificial Intelligence Magnetic Resonance Imaging
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Meniscus-Climbing System Inspired 3D Printed Fully Soft Robotics with Highly Flexible Three-Dimensional Locomotion at the Liquid-Air Interface.

ACS nano Nov 11, 2022
Soft robotics locomotion at the liquid-air interface has become more and more important for an intelligent society. However, existing locomotion of soft robotics is limited to two dimensions. It remains a formidable challenge to realize three-dimensi...
Locomotion Meniscus Robotics Nanotubes, Carbon Printing, Three-Dimensional
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Deep Learning-Based Image Feature with Arthroscopy-Aided Early Diagnosis and Treatment of Meniscus Injury of Knee Joint.

Journal of healthcare engineering Sep 17, 2021
The aim of this study is to explore the clinical effect of deep learning-based MRI-assisted arthroscopy in the early treatment of knee meniscus sports injury. Based on convolutional neural network algorithm, Adam algorithm was introduced to optimize ...
Knee Joint Early Diagnosis Treatment Outcome Magnetic Resonance Imaging Meniscus Arthroscopy Tibial Meniscus Injuries Humans Deep Learning
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Automatic screening of tear meniscus from lacrimal duct obstructions using anterior segment optical coherence tomography images by deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Feb 12, 2021
PURPOSE: We assessed the ability of deep learning (DL) models to distinguish between tear meniscus of lacrimal duct obstruction (LDO) patients and normal subjects using anterior segment optical coherence tomography (ASOCT) images.
Humans Female Male Lacrimal Duct Obstruction Meniscus Aged Deep Learning Tomography, Optical Coherence Adult Tears
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3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects.

Journal of magnetic resonance imaging : JMRI Oct 10, 2018
BACKGROUND: Semiquantitative assessment of MRI plays a central role in musculoskeletal research; however, in the clinical setting MRI reports often tend to be subjective and qualitative. Grading schemes utilized in research are not used because they ...
Reproducibility of Results Aged Sensitivity and Specificity Anterior Cruciate Ligament Reconstruction Male Meniscus Adult Retrospective Studies Female Humans False Positive Reactions Neural Networks, Computer Osteoarthritis, Knee Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament ROC Curve Imaging, Three-Dimensional Middle Aged Cartilage, Articular Magnetic Resonance Imaging Severity of Illness Index
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Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.

Radiology Mar 27, 2018
Purpose To analyze how automatic segmentation translates in accuracy and precision to morphology and relaxometry compared with manual segmentation and increases the speed and accuracy of the work flow that uses quantitative magnetic resonance (MR) im...
Adolescent Reproducibility of Results Image Processing, Computer-Assisted Retrospective Studies Joint Diseases Aged Young Adult Female Male Humans Cartilage, Articular Magnetic Resonance Imaging Adult Aged, 80 and over Middle Aged Meniscus Knee Joint Neural Networks, Computer
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Automatic Segmentation of Meniscus in Multispectral MRI Using Regions with Convolutional Neural Network (R-CNN).

Journal of digital imaging Aug 1, 2020
The meniscus has a significant function in human anatomy, and Magnetic Resonance Imaging (MRI) has an essential role in meniscus examination. Due to a variety of MRI data, it is excessively difficult to segment the meniscus with image processing meth...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Meniscus Humans Neural Networks, Computer
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