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 …

Osteoarthritis is characterized by the degeneration of the articular cartilage in joints. We
have developed a fully automatic method for segmenting the articular cartilage in knee MR …

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 …

We present experimental evaluation of a new fully-automatic method for accurate knee
cartilage segmentation based on 40 test and 60 training images of the SKI10 set. The …

A technique for segmentation of articular cartilage from 3D MRI scans of the knee has been
developed. It overcomes the limitations of the conventionally used region growing …

To perform cartilage quantitative analysis requires the accurate segmentation of each
individual cartilage. In this paper we present a model based scheme that can automatically …

Many classification/segmentation tasks in medical imaging are particularly challenging for
machine learning algorithms because of the huge amount of training data required to cover …

Using more than one classification stage and exploiting class population imbalance allows
for incorporating powerful classifiers in tasks requiring large scale training data, even if …

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 …

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 …