An extensible computer vision application for blood cell recognition and analysis

Abstract

Fast and cost-effective production of blood count reports is of paramount importance in the healthcare industry especially during pandemic situations. The traditional method of manual count under the microscope yield inaccurate results and put an intolerable amount of stress on the Medical Laboratory Technicians (MLT). On the other hand, although there are hardware solutions such as the "Automated Haematology Counter", developing countries like Sri Lanka are not capable of deploying such prohibitively expensive machines in every hospital and laboratory in the country. As a solution to this problem, this research project aims to provide a software-based cost-effective and an efficient alternative in recognising and analysing blood cells.