Computer Based Bone Breakage Detection using Machine Learning Techniques
P. Neelakanteswara1, G.Kalyan Chakravarthy2, Ram Kumar Madupu3, Dorababu Sudarsa4
1P.Neelakanteswara*, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (AP), India.
2G Kalyan Chakravarthy, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (AP), India.
3Ram Kumr Madupu, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (AP), India.
4Dorababu Sudarsa, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (AP), India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3695-3698 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3827129219/2019©BEIESP | DOI: 10.35940/ijeat.B3827.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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 or thopaedics 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%.
Keywords: ANN, PNN, BPNN, X-Ray, Fracture.