IMAGE CLASSIFICATION IN MEDICAL DATASETS USING FUZZY LOGIC SYSTEM

Image classification is a problem that uses techniques of image treatment, pattern recognition and classification. Automatic processing of medical images is a progressive field for classifying images and is planned to be more expanded in the future. As such, automated diagnosis is supported by secondary opinions and reduces the workload of pathologists. This paper discusses the use of the Fuzzy image classification method (FIS). The clear representation of a FIS by intelligence and the learning ability of artificial neural networks are combined. FIS aims to incorporate the right functionality of neuronal and fluid systems. This classifier is compared to other classifiers in terms of key advantages and disadvantages.