Mucous Membrane Diseases Diagnosis Support System Using Probabilistic Relaxation

Abstract

In this paper, a diagnosis support system for mucous membrane diseases in oral cavity, in which a shape of vitiligo is judged as lacy or not-lacy from an intraoral image, is proposed. To realize good discrimination, it is important to extract vitiligo area with high accuracy. To segment vitiligo from other area, a probabilistic relaxation with teacher signal is employed. From some simulations, an effectiveness of the proposed method is verified.