REVIEW OF MODERN METHODS OF REDUCING THE COMPUTATIONAL COMPLEXITY OF IMAGE RECOGNITION IN COMPUTER-ASSISTED SURGERY

Abstract. The article is devoted to the review of modern methods of reducing the computational complexity of image recognition in computer-assisted surgery. The problem of computational complexity can adversely affect the image recognition process, slowing it down and reducing its accuracy. Given the relevance of existing image recognition technologies in surgery, a number of methods for reducing computational complexity are considered, based on existing scientific research. Calculations are presented, examples of the use of the proposed methods are considered. The research is the basis for further study of optimised methods and their integration into surgical practice.