A Frugal Technological Model for Leukemia Detection Using Digital Microscopy

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: Juan López Prieto (Universidad Peruana de Ciencias Aplicadas, PE)
Miguel Purizaca Pérez (Universidad Peruana de Ciencias Aplicadas, PE)
Jimmy Armas (Universidad Peruana de Ciencias Aplicadas, PE)
Paola Gonzalez (Dalhousie University, CA)
(Universidad Peruana de Ciencias Aplicadas)
Full Paper: #345


In this paper, we propose a low-cost technological model for optimizing the detection process of leukemia using digital microscopy. The model is targeted to be used in remote areas in developing countries where availability of resources is an issue. This model applies the canny algorithm on a bank of images of normal and abnormal microscopic cells. The proposed model includes the capture, digitization, and analysis of microscopic samples, Fives phases are included in this model: 1. Data collection; 2. Data capture; 3. Image processing; 4. Cell classification; 5. Display of results. The model was preliminary validated with five blood samples from three men and two women in different age categories. All these samples were validated by the Head of Clinical Pathology at a public hospital in Callao, Lima, Peru. The results showed that a 90.5% effectiveness rate of white blood cell identification was obtained. This results aims to provide an additional and accurate tool to detection of potential leukemia.