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The cells can change themselves in response to the changes in their surrounding environment. Atrophy refers to the small size of cell due to the reduction of cell substances. When a certain number of cells in an organ catch it, the entire organ or tissue becomes small and the atrophy happens. This paper provides a knowledge-based expert system to diagnose the atrophy of intestinal tissue based on endoscopic image processing, the results of clinical examination and tests. The knowledge base of system is combined and based on the rule and is designed in a way that it can be developed with no disturbance in inferential engine. The inferential and inductive inference is utilized in the inferential engine of system. The image processing in proposed system includes testing the image of small intestine wall, image filter, morphological operation, and determining the amount of atrophy villus.

Designing a Knowledge-Based Intelligent Assistant for Diagnosis of Atrophy in Small Intestine on the Basis of Processing the Tissue Images