Deformable R-CNN for Detection of Electron Dense Deposits in Glomerular Transmission Electron Microscopy Images-Reference-Cited by-同舟云学术

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Deformable R-CNN for Detection of Electron Dense Deposits in Glomerular Transmission Electron Microscopy Images

Published:2024 Issue: Volume:12 Page:25657-25667
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Shuo¹,Tan Jieyun¹,Lu Yanmeng²,Geng Jian³,Zhou Zhitao²,Cao Lei¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Southern Medical University, Guangzhou, China

2. Central Laboratory, Southern Medical University, Guangzhou, China

3. Department of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10433483.pdf?arnumber=10433483

Reference49 articles.

1. Screening of Medications for Idiopathic Membranous Nephropathy Using Glomerular Whole-Genome Sequencing

2. Spectrum of biopsy proven renal diseases in Central China: a 10-year retrospective study based on 34,630 cases

3. Membranous nephropathy: A ten-year journey of discoveries

4. The role of electron microscopy for the diagnosis of glomerulopathies

5. Lack of electron microscopy hinders correct renal biopsy diagnosis: A study from India

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