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

机译:一种新的电子仪表方法,用于获取微观血液涂片图像以自动诊断贫血

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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’ style="font-family:Verdana;"> 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.
机译:贫血是一种影响人体红细胞的数量和质量的血液异常。这有时平庸的符号备注没有大陆,没有社会阶层。通过患者<跨度=“Font-Family:Verdana;”>血液,通常通过生物学分析来欣赏这种异常。这些分析,致力于血清度量常数的知识,不能通自允许某些形式的贫血的表征,即大多数贫血与红细胞的形态和颜色有关。我们本文的工作是对患者进行血液涂片,对这些涂片进行红细胞的形态学和比色分析。这种方法使我们突出显示每种红细胞形态学和比色描述符,通过图像处理方法准确地识别贫血类型。该识别是在自动化环境中进行的,以允许病理学家能够快速响应与贫血相关的紧急情况,并改善要进行的治疗。这种自动化要求实施电子仪器的新方法和获取微观血液涂片图像,以实现贫血的自动快速诊断。

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