Bone Deformity Identification Using Machine Learning

摘要

The success of machine learning algorithms in medical imaging has increased the need for artificially trained models to make them work in the medical field more quickly and efficiently. This paper gives a technique to identify bone fracture using machine learning algorithms, by which workload for orthopedics can be reduced. The significant use of machine learning in this era of big medical data would help gather information from the available x-ray images rather than spending hours in the radiology departments. This paper presents imaging technologies used to identify bone fracture in the human body and give quick results once the x-ray has been taken.