Abstract
Purpose: Objective assessment of osteoarthritis (OA) images can address the limitations of current OA assessment. Bone and cartilage segmentation is a necessary component for the objective assessment of OA which helps quantify tissue characteristics such as volume and thickness. In recent years many methods have been proposed based on artificial intelligence (AI) techniques for segmenting bone and soft tissues. Unfortunately, most of these segmentation methods require large data sets, or separate AI networks to segment each anatomic structure.
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