Bone fracture detection using machine learning

Abstract

Millions of individuals all around the world suffer from bone fractures each year. Bone fractures must be quickly and accurately identified in order to receive the appropriate diagnosis and care. Every day, new, quickly developing technologies, notably in the medical field, are emerging. However, there are also certain antiquated techniques that are still frequently employed and productive. Automated fracture diagnosis systems have grown in popularity as a result of improvements in medical imaging technology. One of these techniques is to identify broken bones using X-rays. However, occasionally the number of fractures may be insignificant and difficult to count. It is important to create systems that are both efficient and intelligent.

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