Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy

Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy

Objectives Renal biopsy is the gold standard for the diagnosis of glomerular diseases including membranous nephropathy (MN), however, it faces challenges in accuracy, objectivity, and reproducibility of tissue evaluation. This study aims to develop a multimodal pathological diagnosis system to assis...

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Main Authors: Xiuxiu Hu, Jinyue Yang, Yiping Li, Yuxiang Gong, Haifeng Ni, Qing Wei, Minyu Yang, Yu Zhang, Jing Huang, Cao Ma, Bizhen Wei, Kaijie Yu, Jiayun Xu, Siyu Xia, Taotao Tang, Pingsheng Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Renal Failure
Subjects:
Membranous nephropathy
renal biopsy
multimodal pathological diagnosis
artificial intelligence
deep learning
Online Access:https://www.tandfonline.com/doi/10.1080/0886022X.2025.2528106
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https://www.tandfonline.com/doi/10.1080/0886022X.2025.2528106

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