ABSTRACT
This work analyses the methods and computer tools for recognition of diabetes-affected fundus images and offers the theoretical foundations for methods and computer aids for recognition of such images. The methods, algorithms and architecture of the software and hardware tools for fundus pathology identification have been developed. Experimental research has been conducted in the field of fundus image recognition and identification of pathology-affected areas.
