Desenvolvimento de aplicativo móvel para o cálculo do índice de infecção por leishmaniose usando visão computacional

Abstract

Leishmaniasis is a disease neglected by many countries and is mainly present in low and middle income countries. Its transmission is due to the bite of a contaminated Phlebotomine females, known as Lutzomyia longipalpis. The process for identifying leishmaniasis in a laboratory sample is performed manually by specialists, this process is not scalable and takes a lot of time. This work aims to develop a mobile application capable of automating the calculation of the Leishmaniasis infection index performed by these specialists, through the capture of images in microscopes from a sample on slides that calculate the infection index with the help of a network neural. The result shows the feasibility of using a mobile application as a tool to streamline the process of calculating the Leishmaniasis infection rate. Therefore, it becomes possible to obtain quick results, where an optimized and scalable product is obtained.