Comparative Study of Pre-processing Data on Scoliosis Type Classification on X-Ray Image Using CNN Algorithm
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-21438-7_55
Reference25 articles.
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2. Murray, R.C., Ophaswongse, C., Park, J.H., Agrawal, S.K.: Characterizing torso stiffness in female adolescents with and without scoliosis. IEEE Robot. Autom. Lett. 5, 1634–1641 (2020). https://doi.org/10.1109/LRA.2020.2969945
3. Ajemba, P.O., Durdle, N.G., Raso, V.J.: Characterizing torso shape deformity in scoliosis using structured splines models. IEEE Trans. Biomed. Eng. 56, 1652–1662 (2009). https://doi.org/10.1109/TBME.2009.2020333
4. Ungi, T., et al.: Automatic spine ultrasound segmentation for scoliosis visualization and measurement. IEEE Trans. Biomed. Eng. 67, 3234–3241 (2020). https://doi.org/10.1109/TBME.2020.2980540
5. Yanagisawa, H., Yamashita, T., Watanabe, H.: A study on object detection method from manga images using CNN. In: 2018 International Workshop on Advanced Image Technology (IWAIT), pp. 1–4 (2018). https://doi.org/10.1109/IWAIT.2018.8369633
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