This important parameter counts the number of erythrocytes present in the bloodstream ideally between 4.0 to 6.0 x 10 6 mm 3 of blood. These values are variable according to the age and sex of the patient. Changes in the mean value of red blood cells may indicate genetic anemias, deficiency anemia, leukemias, polycythemias, or blood loss.
Published in Chapter:
WT-MO Algorithm: Automated Hematological Software Based on the Watershed Transform for Blood Cell Count
Ana Carolina Borges Monteiro (Universidade Estadual de Campinas, Brazil), Yuzo Iano (Universidade Estadual de Campinas, Brazil), Reinaldo Padilha França (Universidade Estadual de Campinas, Brazil), and
Navid Razmjooy (Independent Researcher, Belgium)
Copyright: © 2019
|Pages: 41
DOI: 10.4018/978-1-5225-8027-0.ch002
Abstract
Visual examination of blood smears is an essential tool for analysis, prevention, and remediation of several types of maladies. The interest of computer-aided decision has been acknowledged in many medicinal instances (e.g., automatic ways and means are being explored to spot, classify, and measure visual items in hematological cytology [HC]). This chapter proposes an entirely automated blood smear diagnosis system for hemograms, which can lessen the time spent to scrutinize a slide. The present framework relies on morphological operations (MOs) and soft segmentation by means of the watershed transform (WT). Experiments demonstrate the method efficacy to count white blood cells (WBCs) and red blood cells (RBCs). Some considerations about implementations, design advice and possible variants, as well as improvements are discussed. The future of automated medical analysis is contemplated.