A Fully Automated Segmentation of Knee Bones and Cartilage Using Shape Context and Active Shape Models
In this master's thesis a fully automated method is presented for seg-menting bones and cartilage in magnetic resonance imaging (MRI) of theknee. The knee joint is the most complex joint in the human body andsupports the weight of the whole body. This complexity and acute task ofthe knee joint leads to a disabling disease called Osteoarthritis among theadult population. The disease leads to loss o