ABSTRACT
Analysis of medical images plays a very important role in clinical decision making. For a long time it has required extensive involvement of a human expert. However, recent progress in data mining techniques, especially in machine learning, allows for creating decision models and support systems that help to automatize this task and provide clinicians with patient-specific therapeutic and diagnostic suggestions. Bone fractures are a common problem in humans because of excessive pressure on the bone or accident, and also due to osteoporosis and bone cancer. Therefore, a thorough diagnosis of fractures is an important part of treatment. In this work, x-ray imaging is used to diagnose fractures. The goal of this project is to improve the impressive imaging system based on faster and more accurate separation of bone fractures based on information obtained from x-ray images. In this project, we describe a study aimed at building a decision model (a classifier) that would predict the bone fracture. This project is developed in matlab using image processing.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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