Description: The article focuses on relevance of the diagnosis of malignant neoplasms in the early stages. Modern diagnostic systems require accurate and rapid processing of cytological and histological images. Currently, intellectual information technologies are widespread. The idea of hybridization in artificial intelligence led to the emergence of hybrid intelligence information technologies. One of the types of information technology support is information models. The subject of the study is the process of processing histological and cytological images. The purpose of the article is information processes and models in automated microscopy systems. The aim is to develop informational model of hybrid intelligence information system (GIS) for presenting information flows in the system, modeling the states and checking the system. The methodology of simulation of systems based on Petri Networks is used in this work. The structural and functional scheme of GIS is developed. The simulation of the GIS on the basis of Petri Networks in the Pipe environment is conducted. Constructed graphs of the system for cases of converting an image to another format or using a convolutional neural network. The developed information model of GIS for the processing of biomedical images enables to trace the movement of data in the system from obtaining an image from a microscope to outputting results on the screen. This model at the design stage distributes functions and data streams between GIS modules. An information model can be used to construct software tools for the processing of biomedical images.
Keywords: hybrid intelligence system, information model, biomedical images, Petri network