Computer Based Bone Breakage Detection using Machine Learning Techniques

  • et al.
N/ACitations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

X-Ray is one of the most commonly used medium to extract the images of any bone in the body.Fracture of a bone is most common in recent days due to accidents or any means.In order to detect whether there is a fracture or not the orthopaedics suggest for x-ray.In many places due to more patients there might be a delay of doctor consult which may leads to the increase in the severity of problem.In order to avoid this we have proposed an automatic bone fracture detection system where a system is trained about the fractures and further used to detect the fractures in a bone in the x-ray images.ANN,PNN.BPNN are the classifiers used for bone fracture detection where BPNN has given more prominent results compared to ANN and PNN with an accuracy of 82%.

Cite

CITATION STYLE

APA

Neelakanteswara, P., Chakravarthy, G. K., … Sudarsa, D. (2019). Computer Based Bone Breakage Detection using Machine Learning Techniques. International Journal of Engineering and Advanced Technology, 9(2), 3695–3698. https://doi.org/10.35940/ijeat.b3827.129219

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free