基于深度学习的血细胞检测系统
A Blood Cell Detection System Based on Deep Learning

血常规作为医院体检最常见的项目之一，在诊断身体是否健康方面起着至关重要的作用。目前对血细胞进行筛查的常见手段有通过血细胞分析仪和人工镜检进行检测，而这两种方法成本太高且精准度不足。为降低成本以及提高检测精确度，利用深度学习对血细胞进行检测能在一定程度上有效解决这一问题。
As one of the most common items in hospital physical examinations, blood routine plays a crucial role in diagnosing whether the body is healthy. At present, common methods for screening blood cells include using blood cell analyzers and manual microscopy, but these two methods are too expensive and lack accuracy. To reduce costs and improve detection accuracy, using deep learning to detect blood cells can effectively solve this problem to a certain extent.