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Updated: May 5, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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使用双流CNN模型与深度监督,自动对膀外流 (VUR) 进行分级

Guangjie Chen1, Lixian Su2, Shuxin Wang2

  • 1Department of Urology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Journal of imaging informatics in medicine
|February 14, 2025
PubMed
概括

这项研究引入了一种AI模型,自动从医学图像中对囊腔外流 (VUR) 进行分级. 这种新的深度学习方法有助于诊断这种尿路疾病,改善儿科脏护理.

关键词:
双流架构是双流的架构.多头卷积神经网络多头卷积神经网络膀管回流 (Vesicoureteral reflux) 是一种流动性的疾病.排空囊回形图 (Voiding cystourethrography) 是一种排空囊回形图 (Voiding cystourethrography) 的方法.

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