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Automated Classification of Leukocytes in Blood Smear Images

机译:血涂片图像中白细胞的自动分类

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摘要

Leukocyte formula counting is an important step of clinical blood analysis. A classification system is presented for problems of classification and count of leukocytes on blood smears images. The classification is based on a variant of the AdaBoost algorithm. The results of implementation of the algorithm are presented. Clinical blood analysis is widely used in medicine. The analysis includes leukocyte count. The leukocyte formula reveals the immune status of the patient. Deviation from the leukocyte formula and specific anom- aly of cell morphology are symptoms of pathology.
机译:白细胞配方计数是临床血液分析的重要步骤。针对血涂片图像上白细胞的分类和计数问题,提出了一种分类系统。该分类基于AdaBoost算法的一种变体。给出了该算法的实现结果。临床血液分析在医学中被广泛使用。分析包括白细胞计数。白细胞配方可揭示患者的免疫状态。与白细胞配方的偏离和细胞形态的特定异常是病理的症状。

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