Analysis and classification of X-ray images on the basis of intelligent agents in distributed systems

Abstract

Abstract The purpose of the research is to create new informative Internet technologies that would provide creators of intellectual research systems with available information for constructing training and control samples. An information and diagnostic system based on the formation of a unified structured knowledge base, which is intended for the analysis and classification of X-ray images, is proposed. Research methods for the developed information technology for the synthesis of X-ray classifiers are “the Interior”. The Interior can be presented as a computer program, an autonomous Interior agent, which allows interactively carrying out research on meta-analysis of the classifiers efficiency. The function of the Interior is to build an X-ray classifier with the connection of many users with different databases. The result of the research is the formation of a unified structured knowledge base. The basis of the Interior is a DBMS containing: image files, files of marks of morphological formations, files of personal data, files of meta-analysis results, and files of classifiers. Integration into interiors-associates allows you to build a distributed system of intelligent agents. Based on this system, it becomes possible to form classifiers for global use, as well as to carry out a meta-analysis of the diagnostic procedures effectiveness.