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 …

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 …

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 …

In this paper, we present an evaluation framework for the 3D segmentation of knee bones
and cartilage from magnetic resonance images. The framework was established for one of …

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 …

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 …

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 …

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 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 …