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An automatic medical-assistance diagnosis system applicable on X-ray images

This paper proposes a medical-assistance diagnosis system that automatically extracts the objects from the medical X-ray images. One of the applications is to diagnose if a patient has bowlegs or not. The entire system consists of three independent functions: merging, segmentation, and measurement. Detecting several initial points fully automatically, the system can be able to provide a fast, accurate, and objective analysis for a doctor's diagnosis.