Development of an Algorithm for Vertebrae Identification Using Speeded up Robost Features (SURF) Technique in Scoliosis X-Ray Images

Author:

Janumala Tabitha,Ramesh K. B.

Publisher

Springer International Publishing

Reference16 articles.

1. Tariq, A.: Buket barkana department of electrical engineering, university of bridgeport, bridgeport, CT, USA: a mask based segmentation algorithm for automatic measurement of cobb angle from scoliosis X-Ray image. In: ICACC 2012.24 110. International Conference Advance Computing Communication. IEEE (2012). https://doi.org/10.1109/icacc.2012.24

2. Tabitha, J., Ramesh, K.B., Harish, A.H.: Development of an image-based modelling tool for the spinal deformity detection using curve fitting technique. Int. J. Eng. Res. Electr. Commun. Eng. (IJERECE) 5(4), 7–11 (2018). ISSN (Online) 2394–6849

3. Madha, C.W., Tri, A.S.: Spinal curvature determination from X-ray image using GVF snake. In: International Conference Information and Communication Technology System (ICTS) (2015)

4. Bagus, A.K., Hanung, A.N., Sanu, W.: Spinal curvature determination from scoliosis X-ray image using sum of squared difference template matching. In: International Conference on Science and Technology-Computer (ICST) (2016)

5. Ili, A.M.I. (ed.) An analysis of x-ray image enhancement methods for vertebral bone segmentation. In: IEEE. 10th International Colloquium on Signal Processing Applications (2014). https://doi.org/10.1109/cspa.2014.6805749

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