Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases-Reference-Cited by-同舟云学术

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Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases

Published:2024-01 Issue:1 Volume:105 Page:165-176
ISSN:0085-2538
Container-title:Kidney International
language:en
Short-container-title:Kidney International

Author:

Smerkous David,Mauer Michael,Tøndel Camilla^ORCID,Svarstad Einar,Gubler Marie-Claire,Nelson Robert G.,Oliveira João-Paulo^ORCID,Sargolzaeiaval Forough,Najafian Behzad^ORCID

Publisher

Elsevier BV

Subject

Nephrology

Reference69 articles.

1. Roles of the podocyte in glomerular function;Pavenstadt;Am J Physiol Renal Physiol,2000

2. Mechanisms of progression and regression of renal lesions of chronic nephropathies and diabetes;Remuzzi;J Clin Invest,2006

3. Pathways to nephron loss starting from glomerular diseases-insights from animal models;Kriz;Kidney Int,2005

4. The pathogenesis of “classic” focal segmental glomerulosclerosis-lessons from rat models;Kriz;Nephrol Dial Transplant,2003

5. New insights into the pathology of podocyte loss: mitotic catastrophe;Liapis;Am J Pathol,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning applications in digital pathology;Nature Reviews Nephrology;2024-07-16

2. Digital pathology assessment of kidney glomerular filtration barrier ultrastructure in an animal model of podocytopathy;2024-06-17

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