Machine Learning for the Identification of Bone Deformities

Authors: Mohammed Aslam Khan, Mohd. Yaseen Ahmed, Syed Safadar Hussain, Khutaija Abid

DOI: https://doi.org/10.37082/IJIRMPS.v11.i1.230311

Short DOI: https://doi.org/gspr3p

Country: India

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Abstract: The success of machine learning algorithms in medical imaging has boosted the demand for models that have been artificially trained to function more rapidly and effectively in the medical profession. In this paper, a method for identifying bone fractures using machine learning algorithms is presented, which can help to lighten the workload of orthopedics. Instead of spending hours in radiology departments, the substantial application of machine learning in this era of huge medical data will make it possible to obtain information from the available X-ray images. The imaging techniques described in this study can quickly determine whether a bone fracture has occurred in a human body after an X-ray has been obtained.

Keywords: Medical Field, Orthopaedics, Machine Learning, X-ray, Bone Fracture, Image Pixels, Image Soothing, Edge Detection, Ridge Regression, Pickle Library, Image Reshaping, Feature Vectors

Paper Id: 230311

Published On: 2023-01-02

Published In: Volume 11, Issue 1, January-February 2023

Cite This: Machine Learning for the Identification of Bone Deformities - Mohammed Aslam Khan, Mohd. Yaseen Ahmed, Syed Safadar Hussain, Khutaija Abid - IJIRMPS Volume 11, Issue 1, January-February 2023. DOI 10.37082/IJIRMPS.v11.i1.230311

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