Urinary particles are particularly important parameters in clinical urinalysis, especially for the diagnosis of nephropathy. Therefore, it is highly important to precisely detect urinary particles in the clinical setting. However, artificial microscopy is subjective and time consuming, and various previous detection algorithms lack the adequate accuracy. In this study, a method is proposed for the analysis of urinary particles based on deep learning.

中文翻译：

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根据深度学习检查尿液中的可见成分。

尿液颗粒是临床尿液分析中特别重要的参数，尤其是对于肾病的诊断。因此，在临床环境中精确检测尿液颗粒非常重要。然而，人工显微镜检查是主观且耗时的，并且各种先前的检测算法缺乏足够的准确性。在这项研究中，提出了一种基于深度学习的尿液颗粒分析方法。