人工智能
前瞻性队列研究
尿沉渣
泌尿系统
地质学
自动化方法
医学
生物医学工程
尿
材料科学
显微镜
沉积物
医学物理学
作者
Stylianos G. Mouslech,Sven Wijnants,Anne-Lisanne van der Schagt,Lieve Van Hoovels,Roxane Deley,Matthijs Oyaert,Jana Neirinck,J. Billen,Glynis Frans,Maarten De Vos
出处
期刊:Clinical Chemistry
[American Association for Clinical Chemistry]
日期:2025-12-10
卷期号:72 (4): 467-477
标识
DOI:10.1093/clinchem/hvaf182
摘要
Our results indicate that a lightweight deep learning model can achieve high performance in classifying urine particles. Analysis of discrepancies between retrospective and prospective evaluations provides important insights toward reliable clinical application.
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