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This paper proposes a relaxed conditional hierarchical statistical shape model (SSM) of multiple organs. After extracting shape and pose parameters from the training label dataset of multiple organs, the shape model and the pose model of each organ are constructed by principal component analysis (PCA). Subsequently, the principal scores of all organs are concatenated into a vector, and the vectors...
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