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 the knee. The knee joint is the most complex joint in the human body and supports the weight of the whole body. This complexity and acute task of the knee joint leads to a disabling disease called Osteoarthritis among the adult population. The disease leads
