Deep learning outperforms kidney organoid experts

Bibliographic Details
Main Authors: Seyoung Yu, Heon Yung Gee
Format: Article
Language:English
Published: The Korean Society of Nephrology 2023-01-01
Series:Kidney Research and Clinical Practice
Online Access:http://krcp-ksn.org/upload/pdf/j-krcp-22-174.pdf
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author Seyoung Yu
Heon Yung Gee
author_facet Seyoung Yu
Heon Yung Gee
author_sort Seyoung Yu
collection DOAJ
first_indexed 2024-03-13T10:00:13Z
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institution Directory Open Access Journal
issn 2211-9132
2211-9140
language English
last_indexed 2024-03-13T10:00:13Z
publishDate 2023-01-01
publisher The Korean Society of Nephrology
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series Kidney Research and Clinical Practice
spelling doaj.art-de9c23347cf642159469499ccfacc63a2023-05-23T06:12:37ZengThe Korean Society of NephrologyKidney Research and Clinical Practice2211-91322211-91402023-01-014211310.23876/j.krcp.22.1746190Deep learning outperforms kidney organoid expertsSeyoung YuHeon Yung Geehttp://krcp-ksn.org/upload/pdf/j-krcp-22-174.pdf
spellingShingle Seyoung Yu
Heon Yung Gee
Deep learning outperforms kidney organoid experts
Kidney Research and Clinical Practice
title Deep learning outperforms kidney organoid experts
title_full Deep learning outperforms kidney organoid experts
title_fullStr Deep learning outperforms kidney organoid experts
title_full_unstemmed Deep learning outperforms kidney organoid experts
title_short Deep learning outperforms kidney organoid experts
title_sort deep learning outperforms kidney organoid experts
url http://krcp-ksn.org/upload/pdf/j-krcp-22-174.pdf
work_keys_str_mv AT seyoungyu deeplearningoutperformskidneyorganoidexperts
AT heonyunggee deeplearningoutperformskidneyorganoidexperts