Abstract
The paper proposes an automatic method to screen and assess scoliosis, especially for the early-stage cases. Compared to state-of-art methods based on professional medical images such as radiographs and 3-D surface images, this method only requires 2-D digital images containing human back. The method reaches comparable results with manual results marked on the same images by clinicians, so it provides a feasible and convenient way for potential scoliosis patients to detect scoliosis and for patients to monitor the dynamic changes on scoliosis at home.
C. Zhang—This work is supported by Tsinghua University Initiative Scientific Research Program(founded by Tsinghua University Scientific Research Development, No. 20141081231).
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Pan, W., Hou, G., Zhang, C. (2015). Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images. In: He, X., et al. Intelligence Science and Big Data Engineering. Image and Video Data Engineering. IScIDE 2015. Lecture Notes in Computer Science(), vol 9242. Springer, Cham. https://doi.org/10.1007/978-3-319-23989-7_40
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DOI: https://doi.org/10.1007/978-3-319-23989-7_40
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