Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation-Reference-Cited by-同舟云学术

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Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation

Published:2024-02-17 Issue:31 Volume:83 Page:76529-76549
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Chen Yilin,Liu Xueyu,Hao Fang,Zheng Wen,Zhou Xiaoshuang,Li Ming,Wu Yongfei^ORCID,Wang Chen

Funder

National Natural Science Foundation of China

National Youth Science Foundation of China

Shanxi Province Plan Project on Science and Technology of Social Development

Natural Science Foundation of Shanxi Province, China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18536-x.pdf

Reference42 articles.

1. Xu X, Wang G, Chen N et al (2016) Long-Term Exposure to Air Pollution and Increased Risk of Membranous Nephropathy in China. J Am Soc Nephrol 27:3739. https://doi.org/10.1681/ASN.2016010093

2. Jiang Z, Cai M, Dong B et al (2018) Clinicopathological features of atypical membranous nephropathy with unknown etiology in adult Chinese patients. Medicine (Baltimore) 97:e11608. https://doi.org/10.1097/MD.0000000000011608

3. Scheidat S, Stahl RAK (2003) Membranous glomerulonephritis. Internist (Berl) 44:1120–1130. https://doi.org/10.1007/s00108-003-1022-5

4. Nazareth TA, Kariburyo F, Kirkemo A et al (2019) Patients with Idiopathic Membranous Nephropathy: A Real-World Clinical and Economic Analysis of U.S. Claims Data. J Manag Care Spec Pharm 25. https://doi.org/10.18553/jmcp.2019.18456

5. Couser WG (2017) Primary Membranous Nephropathy. Clin J Am Soc Nephrol 12:983–997. https://doi.org/10.2215/CJN.11761116

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