[Artificial intelligence (AI) and hematological diseases: establishment of a peripheral blood convolutional neural network (CNN)-based digital morphology analysis system].
[Artificial intelligence (AI) and hematological diseases: establishment of a peripheral blood convolutional neural network (CNN)-based digital morphology analysis system].
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DOI：
10.11406/rinketsu.61.564
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发表时间：
2020-01-01
期刊：
影响因子：
--
通讯作者：
Ohsaka, Akimichi
中科院分区：
文献类型：
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作者：
Ohsaka, Akimichi
血涂片的形态分析是血液学诊断疾病的基本要素，几十年来一直由传统的手动光学显微镜进行。虽然这种方法是金标准，但它是劳动密集型的，需要人员的持续培训，并且受到相对较大的观察者间变异性的影响。基于人工智能(AI)的血液涂片数字形态分析的自动化方法是最近发展起来的。本文介绍了我们最近开发的基于卷积神经网络(CNN)的数字形态血液学分析系统。基于人工智能的数字形态血液学分析系统首先需要将血细胞的数字成像融入到分析系统中。为了在不久的将来推广基于CNN的全自动数字形态血液学分析仪，建立一个已经在放射诊断领域建立起来的数字平台是必不可少的。
Morphological analysis of the blood smear is an essential element of diagnosing a disease hematologically and has been performed by conventional manual light microscopy for several decades. Although this method is the gold standard, it is labor-intensive, requires continuous training of the personnel, and is subject to relatively large interobserver variability. The artificial intelligence (AI)-based automated methods for the digital morphological analysis of blood smears have recently been developed. In this review, our recently developed convolutional neural network (CNN)-based digital morphology hematology analysis system is introduced. AI-based digital morphology hematology analysis system is firstly needed to incorporate digital imaging of blood cells into the analysis system. It is essential to establish a digital platform, which was already established in the radiological diagnosis, for the dissemination of CNN-based automated digital morphology hematology analyzer in the near future.