الفهرس 
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Abstract
Since the first moments in the modern era of the invention computer, building an ‘electronic brain’ or in other words ‘artificial intelligent computer systems’ was the greatest dream of scientists. This dream has been one of the most aspirant, challenging, and, of course, controversial. Also, from a long time ago, scientists and doctors both were fascinated with the possible effect of this technology in the field of medicine. In this thesis, we have proposed two tooth caries detection strategies based on popular machine learning techniques. Specifically, we will use the back propagation (BP) neural network and Support Vector Machine (SVM) as the basis for analyzing the dental X-ray images with primary objective is to detect non-cavitated caries lesions in its early stages.