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Example of bone and cartilage segmentation for a 64 year old male subject with severe knee osteoarthritis performed on the T2-FSE image dataset. Despite a few clusters of misclassification for bone and cartilage (white arrows), SUSAN provided good overall contours relative to the ground truth with segmentation performance comparable to the supervised U-Net method. Both deep learning methods outperformed the multi-atlas registration method.
