Cartilage loss is fundamental pathology of knee osteoarthritis (OA). Quantitative analysis of cartilage thickness and volume is very time consuming by manual measurement. We proposed development of deep learning based cartilage segmentation at three dimensional knee magnetic resonance images, which can measure thickness and volume of knee joint cartilage, automatically and accurately. To evaluate the performance, we used Dice Similarity Coefficient (DSC) respect to the manual segmentation, and visual inspection. The accuracy DSC values were higher than 0.9. We expect deep learning program can be useful in future study for knee joint osteoarthritis.
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