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A New Electronic Instrumentation Approach for the Acquisition of Microscopic Blood Smear Images for the Automatic Diagnosis of Anemia

A New Electronic Instrumentation Approach for the Acquisition of Microscopic Blood Smear Images for the Automatic Diagnosis of Anemia

作     者:Jerome Nango Alico Sié Ouattara Alain Clement Jerome Nango Alico;Sié Ouattara;Alain Clement

作者机构:Laboratoire des Sciences et Technologies de la Communication et de l’Information (LSTCI) Yamoussoukro Cote D’Ivoire Institut National Polytechnique Houphouet Boigny (INPHB) Yamoussoukro Cote D’Ivoire Institut Universitaire de Technologie d’Angers (IUT) Angers France 

出 版 物:《Advances in Bioscience and Biotechnology》 (生命科学与技术进展(英文))

年 卷 期:2020年第11卷第6期

页      面:237-255页

学科分类:1002[医学-临床医学] 100201[医学-内科学(含:心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

主  题:Anemia Instrumentation Acquisition Automated Blood Smears Red Blood Cells Morphological Descriptors Colorimetric Descriptors Image Processing Diagnosis 

摘      要: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.

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