Abstract

Introduction A protein, called gluten, becomes intolerable in atrophy of intestinal tissue. When the patients with intestinal tissue atrophy consume the foods containing gluten, the immune system of their body sends a response as the destruction of small intestine. This destruction is creased esp

Highlights

  • A protein, called gluten, becomes intolerable in atrophy of intestinal tissue

  • The aim of this paper is to provide a knowledge-based expert system which can be applied as an intelligent assistant for specialist in diagnosis of intestinal tissue atrophy

  • A knowledge-based expert system is suggested as the intelligent assistant of specialist for diagnosis of intestinal tissue atrophy

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Summary

INTRODUCTION

A protein, called gluten, becomes intolerable in atrophy of intestinal tissue. When the patients with intestinal tissue atrophy consume the foods containing gluten, the immune system of their body sends a response as the destruction of small intestine. The gaps in the peripheral membrane are put under the statistical analysis in this method According to another method, which is done based on processing the gray frame videocapsule images of intestinal wall, the lighting degree of layer tissues is criterion of assessment and comparison for image folds[4]. The designed expert system is applied as an intelligent assistance for a physician Proposed expert system This system consists of four main sectors of combined knowledge base, database, inference engine, as well as the user interface. Database The database consists of the endoscope images of damaged tissue with intestinal atrophy: Fig. 1: Components relationship. This system has the starting chain engine and implements the expert reasoning based on the deductive and inductive inference This engine conducts the process of atrophy diagnosis at three stages. Fig. 1. shows the relationship between the components of an expert system and Fig. 2. shows Mockler Chart

Image Processing Preprocessing
Designing the morphological structures and final processing
RESULTS
Sum Final diagnosis
Detect Small Bowel Mucosal Defferences in
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