AIMC Topic: Knee

Clear Filters Showing 51 to 60 of 85 articles

Robust water-fat separation for multi-echo gradient-recalled echo sequence using convolutional neural network.

Magnetic resonance in medicine Feb 20, 2019
PURPOSE: To accurately separate water and fat signals for bipolar multi-echo gradient-recalled echo sequence using a convolutional neural network (CNN).
Humans Neural Networks, Computer Body Water Head Ankle Knee Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Adipose Tissue
View on PubMed DOI

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.

PLoS medicine Nov 27, 2018
BACKGROUND: Magnetic resonance imaging (MRI) of the knee is the preferred method for diagnosing knee injuries. However, interpretation of knee MRI is time-intensive and subject to diagnostic error and variability. An automated system for interpreting...
Anterior Cruciate Ligament Injuries Knee Image Interpretation, Computer-Assisted Young Adult Automation Adult Tibial Meniscus Injuries Databases, Factual Male Retrospective Studies Middle Aged Female Diagnosis, Computer-Assisted Reproducibility of Results Deep Learning Humans Magnetic Resonance Imaging Predictive Value of Tests
View on PubMed DOI

A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Jul 26, 2018
The commonly used classifiers for pattern recognition of human motion, like backpropagation neural network (BPNN) and support vector machine (SVM), usually implement the classification by extracting some hand-crafted features from the human biologica...
Muscle, Skeletal Knee Joint Motion Pattern Recognition, Automated Humans Neural Networks, Computer Support Vector Machine Knee
View on PubMed DOI

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

IEEE transactions on medical imaging Jul 23, 2018
Undersampled magnetic resonance image (MRI) reconstruction is typically an ill-posed linear inverse task. The time and resource intensive computations require tradeoffs between accuracy and speed. In addition, state-of-the-art compressed sensing (CS)...
Databases, Factual Magnetic Resonance Imaging Phantoms, Imaging Adrenal Glands Humans Neural Networks, Computer Algorithms Data Compression Knee
View on PubMed DOI

Deep convolutional neural network for segmentation of knee joint anatomy.

Magnetic resonance in medicine May 17, 2018
PURPOSE: To describe and evaluate a new segmentation method using deep convolutional neural network (CNN), 3D fully connected conditional random field (CRF), and 3D simplex deformable modeling to improve the efficiency and accuracy of knee joint tiss...
Middle Aged Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Knee Joint Cartilage Bone and Bones Knee Female Reproducibility of Results Aged Male Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

Super-resolution musculoskeletal MRI using deep learning.

Magnetic resonance in medicine Mar 26, 2018
PURPOSE: To develop a super-resolution technique using convolutional neural networks for generating thin-slice knee MR images from thicker input slices, and compare this method with alternative through-plane interpolation methods.
Pilot Projects Imaging, Three-Dimensional Magnetic Resonance Imaging Signal-To-Noise Ratio Osteoarthritis, Knee Humans Phantoms, Imaging Algorithms Cartilage Diseases Deep Learning Knee
View on PubMed DOI

Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging.

Magnetic resonance in medicine Jul 21, 2017
PURPOSE: To describe and evaluate a new fully automated musculoskeletal tissue segmentation method using deep convolutional neural network (CNN) and three-dimensional (3D) simplex deformable modeling to improve the accuracy and efficiency of cartilag...
Humans Neural Networks, Computer Software Algorithms Reproducibility of Results Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Knee Pattern Recognition, Automated Cartilage Bone and Bones
View on PubMed DOI

Deep Learning in Medical Imaging: General Overview.

Korean journal of radiology May 19, 2017
The artificial neural network (ANN)-a machine learning technique inspired by the human neuronal synapse system-was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Optical Imaging Knee Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

AJR. American journal of roentgenology Jan 31, 2017
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices.
Magnetic Resonance Imaging Natural Language Processing Workload Data Mining Radiology Information Systems Reproducibility of Results Humans Academic Medical Centers North Carolina Machine Learning Pattern Recognition, Automated Sensitivity and Specificity Radiology Department, Hospital Image Enhancement Support Vector Machine Knee California
View on PubMed DOI

A biologically-inspired multi-joint soft exosuit that can reduce the energy cost of loaded walking.

Journal of neuroengineering and rehabilitation May 12, 2016
BACKGROUND: Carrying load alters normal walking, imposes additional stress to the musculoskeletal system, and results in an increase in energy consumption and a consequent earlier onset of fatigue. This phenomenon is largely due to increased work req...
Energy Metabolism Lower Extremity Ankle Knee Robotics Hip Humans Self-Help Devices Electromyography Exoskeleton Device Biomechanical Phenomena Walking Male
View on PubMed DOI
Popular Topics
Recent Journals