Abstract

Anemia is a blood abnormality that affects the quantity and quality of red blood cells in the human body. This sometimes banal sign spares no continent and no social stratum. This anomaly is generally appreciated through biological analyzes of patients’ blood. These analyzes, which boil down to the knowledge of hemato-metric constants, cannot by themselves allow the characterization of certain forms of anemia in the sense that most anemia are related to the morphology and color of red blood cells. Our work in this paper is to perform blood smears on patients and perform a morphological and colorimetric analysis of red blood cells on these smears. This approach allowed us to highlight on each erythrocyte morphological and colorimetric descriptors to accurately identify the types of anemia by image processing methods. This identification is performed in an automated environment to allow pathologists to respond quickly to anemia-related emergencies and also improve the treatment to be conducted. This automation required the implementation of a new approach to electronic instrumentation and the acquisition of microscopic blood smear images for the automatic and rapid diagnosis of anemia.

Highlights

  • IntroductionWorld Health Organization (WHO), anemia is a major public health problem [1]

  • This work will produce data in the field and data collected following the analysis of the images obtained. the data in the field will be essentially composed of those obtained by the automated machines of the laboratories and the laboratory data are collected following the analysis of microscopic images of blood smears which are parameters discriminating each form or colorimetric aspect of the red blood cell as indicated the characteristics calculated and grouped in the tables below

  • We will present the results obtained during the acquisition and identification phase of red blood cells

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Summary

Introduction

World Health Organization (WHO), anemia is a major public health problem [1]. According to the report of the World Health Organization, globally the prevalence is 24.8% of the world population with a predominance of preschool children (47.4%) and a regression is observed in men (12.7%) [1]. Anemia spares no social layer in the world This condition, which affects the number and/or quality of red blood cells (lowering of hemoglobin (Hb) levels in human blood) comes in many forms with a variety of causes

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