Intelligent detection of bone fractures using data mining and image processing methods

Today, X-ray machines produce high-quality images for radiologists and physicians to interpret images and detection the disease. Bone fractures are a relatively common event. Each type may require specific treatment, and it is important to determine the type of bone fracture in the fracture treatment phase. It may be a little difficult for a doctor to detect all types of fractures from X-rays and treatment methods. Therefore, an effective and accurate solution is needed to accelerate this procedure. This paper uses data mining and image processing methods which creates a reliable system that automatically and intelligently detects bone fractures with high accuracy and classifies bone fractures using classification models. The results show that not only the presented approach reduces time, effort and cost features, but also according to the experiments the system is able to detect more than ۹۵% of bone fractures, which is an acceptable result.

Keywords:

intelligent detection , bone fracture , data mining methods , image processing , x-ray images , classification models