Medical diagnosis from dental X-ray images: A novel approach using Clustering combined with Fuzzy Rule-based systems

In practical dentistry, dentists use their experience to examine dental X-ray images to identify patients symptoms for the diagnosis of possible diseases. However, this method is based solely on experts experience which varies from dentist to dentist. The idea of dental diagnosis from X-Ray images is to support dentists in making a more valid conclusion. In this paper, we propose a unified framework using Clustering and Fuzzy Rule-based systems for the diagnosis of dental problems. This framework is modeled under real dental cases of Hanoi Medical University, Vietnam including 56 dental images of 5 diseases in the period 2014 2015. Improvements of the standalone problems especially in the side of classification and decision making are demonstrated. Empirical results reveal the best method in terms of accuracy.