MUTIPLE CLASSIFICATION RIPPLE DOWN RULE AND FUZZY SETS IN COMPUTER AIDED DIAGNOSIS

摘要

This paper presents a computer aided diagnosis system in chest radiograph to extract abnormalities and suggest the possible disease states using multiple classification ripple down rule (MCRDR) and fuzzy function. The system generates image features in numerical parameter values using low-level image processing and converts them to linguistic (symbolic) descriptions using fuzzy function. The system then applies MCRDR to diagnose possible diseases. We prove the knowledge of the system is maintained and easily increased by radiologist themselves. MCRDR uses the knowledge supplied by experts just in the context it was provided, that is, by following the sequence of evaluated rules.