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Method and system for detection 3D spinal geometry using iterated marginal space learning
Method and system for detection 3D spinal geometry using iterated marginal space learning
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机译:使用迭代边缘空间学习检测3D脊柱几何的方法和系统
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摘要
A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a global probabilistic spine model, a separate one of the intervertebral disk candidates is selected for each of a plurality of labeled intervertebral disk locations.
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