Using Fuzzy Reasoning to Support a System of Diagnosis of Skin Disease

Abstract

We herein present a fuzzy reasoning approach for a computer-aided diagnostic scheme using medical imaging. The scheme is utilized in skin color images to identify skin disease and to detect and classify clustered microcalcifications. The fuzzy membership functions are initially generated using various texture-based features obtained from reference images. After optimization, the classifier is used for disease identification. The results of this experiment are very promising and demonstrate that our proposed fuzzy reasoning approach is an effective method for computer-aided diagnosis in disease classification.