The article describes the scheme of work and requirements for software and hardware complex for automated bacterioscopic diagnosis of tuberculosis. The basic functionality of the hardware of such an automated system and the required capabilities provided by its software are listed. The stages of automated analysis of digital microscopic images of sputum stained by the method of Ziehl-Nielsen are presented. Own algorithms and mathematical models which can be included in such hardware software complex are presented.
Decision support systems