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Recent computational methods for white blood cell nuclei segmentation: A comparative study

机译:白细胞核分割最近的计算方法:比较研究

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Background and objective: Leukaemia is a disease found worldwide; it is a type of cancer that originates in the bone marrow and is characterised by an abnormal proliferation of white blood cells (leukocytes). In order to correctly identify this abnormality, haematologists examine blood smears from patients. A diagnosis obtained by this method may be influenced by factors such as the experience and level of fatigue of the haematologist, resulting in non-standard reports and even errors. In the literature, several methods have been proposed that involve algorithms to diagnose this disease. However, no reviews or surveys have been conducted. This paper therefore presents an empirical investigation of computational methods focusing on the segmentation of leukocytes.
机译:背景和目的:白血病是全世界发现的疾病; 它是一种源自骨髓的癌症,其特征在于白细胞(白细胞)异常增殖。 为了正确识别这种异常,血液学医生检查患者的血液涂片。 通过该方法获得的诊断可能受到血液学家疲劳程度的因素的影响,导致非标准报告甚至错误。 在文献中,提出了几种方法,涉及算法诊断这种疾病。 但是,没有进行任何评论或调查。 因此,本文介绍了关注白细胞分割的计算方法的实证研究。

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