Automatic knee cartilage segmentation using multi-feature support vector machine and elastic region growing for magnetic resonance images
P Wang, X He, Y Li, X Zhu, W Chen… - Journal of Medical …, 2016 - ingentaconnect.com
In this paper, a method of segmenting cartilage region from knee magnetic resonance
images in vivo is presented. The scheme involved bone-cartilage interface edges location …
images in vivo is presented. The scheme involved bone-cartilage interface edges location …
Analysis on semi-automated knee cartilage segmentation model using inter-observer reproducibility: data from the osteoarthritis initiative
Osteoarthritis is the most common joint disease without any effective cure to halt its'
prevalence. Various medical image segmentation techniques have been proposed to extract …
prevalence. Various medical image segmentation techniques have been proposed to extract …
Automatic knee cartilage segmentation from multi-contrast MR images using support vector machine classification with spatial dependencies
K Zhang, W Lu, P Marziliano - Magnetic resonance imaging, 2013 - Elsevier
Accurate segmentation of knee cartilage is required to obtain quantitative cartilage
measurements, which is crucial for the assessment of knee pathology caused by …
measurements, which is crucial for the assessment of knee pathology caused by …
Optimized region finding and edge detection of knee cartilage surfaces from magnetic resonance images
ED Angelini, EJ Ciaccio - Annals of biomedical engineering, 2003 - Springer
Expert hand-drawing of magnetic resonance image (MRI) features can be tedious and time
consuming. MRI of the knee were acquired from eight subjects to develop an automated …
consuming. MRI of the knee were acquired from eight subjects to develop an automated …
Automatic articular cartilage segmentation based on pattern recognition from knee MRI images
J Pang, PY Li, M Qiu, W Chen, L Qiao - Journal of digital imaging, 2015 - Springer
An automatic method for cartilage segmentation using knee MRI images is described. Three
binary classifiers with integral and partial pixel features are built using the Bayesian theorem …
binary classifiers with integral and partial pixel features are built using the Bayesian theorem …
Fully automated segmentation of cartilage from the MR images of knee using a multi‐atlas and local structural analysis method
Purpose: To develop a fully automated method to segment cartilage from the magnetic
resonance (MR) images of knee and to evaluate the performance of the method on a public …
resonance (MR) images of knee and to evaluate the performance of the method on a public …
Knee bone segmentation from MRI: A classification and literature review
A Aprovitola, L Gallo - Biocybernetics and Biomedical Engineering, 2016 - Elsevier
Segmentation of cartilage from Magnetic Resonance (MR) images has evolved as a tool for
the diagnosis of knee joint pathologies. However, accuracy and reproducibility of automated …
the diagnosis of knee joint pathologies. However, accuracy and reproducibility of automated …
Combining binary classifiers for automatic cartilage segmentation in knee MRI
J Folkesson, OF Olsen, P Pettersen, E Dam… - Computer Vision for …, 2005 - Springer
We have developed a method for segmenting tibial and femoral medial cartilage in MR knee
scans by combining two k Nearest Neighbors (k NN) classifiers for the cartilage classes with …
scans by combining two k Nearest Neighbors (k NN) classifiers for the cartilage classes with …
Fully-automated cartilage segmentation from magnetic resonance images of the knee using atlas and graph-cut algorithms
Purpose: To develop fully automated method to segment cartilage from magnetic resonance
(MR) images of the knee and evaluate the performance on public open dataset. Materials …
(MR) images of the knee and evaluate the performance on public open dataset. Materials …
Analysis of parameters' effects in semi-automated knee cartilage segmentation model: Data from the osteoarthritis initiative
Unlike automated segmentation, the accuracy of semi-automated segmentation is affected
by pertinent parameters such as observer, type of methods and type of cartilage. In this …
by pertinent parameters such as observer, type of methods and type of cartilage. In this …