Deep learning outperforms kidney organoid experts

Seyoung Yu; Heon Yung Gee

doi:10.23876/j.krcp.22.174

Deep learning outperforms kidney organoid experts

Department of Pharmacology

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	1-3
Number of pages	3
Journal	Kidney Research and Clinical Practice
Volume	42
Issue number	1
DOIs	https://doi.org/10.23876/j.krcp.22.174
Publication status	Published - 2023 Jan

Bibliographical note

Funding Information:
This study was supported by the National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) (2018R1A5A2025079).

All Science Journal Classification (ASJC) codes

Nephrology
Urology

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10.23876/j.krcp.22.174

Cite this

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title = "Deep learning outperforms kidney organoid experts",

author = "Seyoung Yu and Gee, {Heon Yung}",

note = "Funding Information: This study was supported by the National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) (2018R1A5A2025079).",

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doi = "10.23876/j.krcp.22.174",

language = "English",

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AU - Gee, Heon Yung

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Deep learning outperforms kidney organoid experts

Bibliographical note

All Science Journal Classification (ASJC) codes

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