Artificial intelligence: is there a potential role in nephropathology?-Reference-Cited by-同舟云学术

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Artificial intelligence: is there a potential role in nephropathology?

Published:2020-06-27 Issue: Volume: Page:
ISSN:0931-0509
Container-title:Nephrology Dialysis Transplantation
language:en
Short-container-title:

Author:

Hermsen Meyke¹^ORCID,Smeets Bart¹^ORCID,Hilbrands Luuk²^ORCID,van der Laak Jeroen¹³^ORCID

Affiliation:

1. Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands

2. Department of Nephrology, Radboud University Medical Center, Nijmegen, The Netherlands

3. Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden

Funder

ERACoSysMed’s SysMIFTA project

the European Union’s Horizon 2020 Framework Programme

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

Link

http://academic.oup.com/ndt/advance-article-pdf/doi/10.1093/ndt/gfaa181/33804715/gfaa181.pdf

Reference10 articles.

1. A 2018 Reference Guide to the Banff Classification of Renal Allograft Pathology;Roufosse;Transplantation,2018

2. Deep learning-based histopathological assessment of kidney tissue;Hermsen;J Am Soc Nephrol,2019

3. Artificial intelligence driven next-generation renal histomorphometry;Santo;Curr Opin Nephrol Hypertens,2020

4. A survey on deep learning in medical image analysis;Litjens;Med Image Anal,2017

5. Deep patient: an unsupervised representation to predict the future of patients from the electronic health records;Miotto;Sci Rep,2016

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3. Deep Learning for Image Analysis in Kidney Care;Advances in Kidney Disease and Health;2023-01

4. Harnessing the B Cell Response in Kidney Transplantation – Current State and Future Directions;Frontiers in Immunology;2022-06-09

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