Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks
Background and objective Segmentation is a crucial step in multiple biomechanics and
orthopedics applications. The time-intensiveness and expertise requirements of medical …
orthopedics applications. The time-intensiveness and expertise requirements of medical …
Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging
Purpose To describe and evaluate a new fully automated musculoskeletal tissue
segmentation method using deep convolutional neural network (CNN) and three …
segmentation method using deep convolutional neural network (CNN) and three …
Auto-segmentation of the tibia and femur from knee MR images via deep learning and its application to cartilage strain and recovery
The ability to efficiently and reproducibly generate subject-specific 3D models of bone and
soft tissue is important to many areas of musculoskeletal research. However, methodologies …
soft tissue is important to many areas of musculoskeletal research. However, methodologies …
Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
Background To study deep learning segmentation of knee anatomy with 13 anatomical
classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse …
classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse …
Automatic knee cartilage and bone segmentation using multi-stage convolutional neural networks: data from the osteoarthritis initiative
Objectives Accurate and efficient knee cartilage and bone segmentation are necessary for
basic science, clinical trial, and clinical applications. This work tested a multi-stage …
basic science, clinical trial, and clinical applications. This work tested a multi-stage …
Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative
We present a method for the automated segmentation of knee bones and cartilage from
magnetic resonance imaging (MRI) that combines a priori knowledge of anatomical shape …
magnetic resonance imaging (MRI) that combines a priori knowledge of anatomical shape …
Design and validation of a semi-automatic bone segmentation algorithm from MRI to improve research efficiency
LN Heckelman, BJ Soher, CE Spritzer, BD Lewis… - Scientific Reports, 2022 - nature.com
Segmentation of medical images into different tissue types is essential for many
advancements in orthopaedic research; however, manual segmentation techniques can be …
advancements in orthopaedic research; however, manual segmentation techniques can be …
Deep convolutional neural network for segmentation of knee joint anatomy
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 …
neural network (CNN), 3D fully connected conditional random field (CRF), and 3D simplex …
Machine learning techniques for quantification of knee segmentation from MRI
Magnetic resonance imaging (MRI) is precise and efficient for interpreting the soft and hard
tissues. Moreover, for the detailed diagnosis of varied diseases such as knee rheumatoid …
tissues. Moreover, for the detailed diagnosis of varied diseases such as knee rheumatoid …
Automatic Bone Segmentation from MRI for Real-Time Knee Tracking in Fluoroscopic Imaging
B Robert, P Boulanger - Diagnostics, 2022 - mdpi.com
Recent progress in real-time tracking of knee bone structures from fluoroscopic imaging
using CT templates has opened the door to studying knee kinematics to improve our …
using CT templates has opened the door to studying knee kinematics to improve our …