Comparison of Fracture Delineation Methods in Anteroposterior Pelvic Radiographs

  • Ligisha P Department of ECE, MDIT, Kozhikode, Kerala, India.
  • Bhavani S Department of ECE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India.
Keywords: Image segmentation, RMSE, GOF, GLCM, SSE

Abstract

Pelvic fractures are very difficult to detect due to the visual complexity of the pelvic bone. Pelvic fracture occurs less frequently, only when there is a high energy event such as fall from a height or vehicle collision. In elder people and in osteoporosis patients even a low energy incident may cause fracture. The paper includes the comparison of three different fracture detection methods – GLCM and ANN based, Statistical curve fitting and classifier based and finally statistical curve fitting and ANN based method.

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References

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Published
2020-10-30
How to Cite
P, L., & S, B. (2020). Comparison of Fracture Delineation Methods in Anteroposterior Pelvic Radiographs. International Journal of Computer Communication and Informatics, 2(2), 17-29. https://doi.org/10.34256/ijcci2023



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