Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. (arXiv:2208.12462v1 [cs.CV])

Automated methods for Cobb angle estimation are of high demand for scoliosis
assessment. Existing methods typically calculate the Cobb angle from landmark
estimation, or simply combine the low-level task (e.g., landmark detection and
spine segmentation) with the Cobb angle regression task, without fully
exploring the benefits from each other. In this study, we propose a novel
multi-task framework, named Seg4Reg+, which jointly optimizes the segmentation
and regression networks. We thoroughly investigate both local and global
consistency and knowledge transfer between …

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