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Updated: Jan 23, 2026

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
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基于机器学习的膀病理的多类分类,使用融合的3D CT放射性和3D自动编码器深度特征

Hongwei Xiao1,2, Weihao Liu3, Huancheng Yang1

  • 1Department of Radiology, The Third Affiliated Hospital of Shenzhen University (Luohu People's Hospital), No. 47 Youyi Road, Luohu District, Shenzhen, Guangdong 518000, China.

European journal of radiology open
|January 22, 2026
PubMed
概括

本研究介绍了一种使用混合放射学和深度学习进行膀病理学分类的自动化CT扫描分析框架. 该系统准确地识别正常的膀,结石,癌症和囊炎,帮助临床诊断.

关键词:
膀癌是一种癌症.这就是 Calculi Calculi 的意思.囊炎是一种囊炎.混合功能融合混合功能融合机器学习 机器学习

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