We propose a fully automatic method for segmenting knee cartilage in 3-D MR images
which consists of bone segmentation, bone-cartilage interface (BCI) classification, and …

Accurate segmentation of knee cartilage is required to obtain quantitative cartilage
measurements, which is crucial for the assessment of knee pathology caused by …

The accurate segmentation of the articular cartilages from magnetic resonance (MR) images
of the knee is important for clinical studies and drug trials into conditions like osteoarthritis …

Manual segmentation of articular cartilage from knee joint 3D magnetic resonance images
(MRI) is a time consuming and laborious task. Thus, automatic methods are needed for …

The automatic segmentation of human knee cartilage from 3D MR images is a useful yet
challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and …

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 …

In this paper, we present a segmentation scheme that automatically and accurately
segments all the cartilages from magnetic resonance (MR) images of nonpathological …

We present a fully automatic method for articular cartilage segmentation from magnetic
resonance imaging (MRI) which we use as the foundation of a quantitative cartilage …

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 …

This paper presents a novel solution toward the accurate and automatic cartilage
segmentation with multi-contrast MR images based on pixel classification. The previous …