Abstract
Adolescent idiopathic scoliosis (AIS) is the most common type of spinal deformity in children in early puberty. Cobb angle is widely used in the diagnosis and treatment of scoliosis. However, existing Cobb angle measurement methods in clinical practice are time-consuming and unreliable. Accurate quantitative assessment of spinal curvature is an essential task in the clinical assessment and treatment planning of AIS. In this study, we proposed a top-down approach to accomplish the task of automatic spinal curvature estimation. We achieved 26.0535% of symmetric mean absolute percentage error (SMAPE).
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CITATION STYLE
Zhao, S., Wang, B., Yang, K., & Li, Y. (2020). Automatic Spine Curvature Estimation by a Top-Down Approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11963 LNCS, pp. 75–80). Springer. https://doi.org/10.1007/978-3-030-39752-4_8
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