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A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection

Published Online: 2024-02-01

Authors

Liou, Natasha https://orcid.org/0000-0002-5644-2604
De, Trina

Urbanski, Adrian https://orcid.org/0009-0008-6619-3665
Chieng, Catherine https://orcid.org/0000-0001-8414-9969
Kong, Qingyang

David, Anna L. https://orcid.org/0000-0002-0199-6140
Khasriya, Rajvinder

Yakimovich, Artur https://orcid.org/0000-0003-2458-4904
Horsley, Harry
Funding

Funding for this research was provided by:

International Urogynecological Association

Philanthropic donor

Bundesministerium f&amp;#x00FC;r Bildung und Forschung

S&amp;#x00E4;chsisches Staatsministerium f&amp;#x00FC;r Wissenschaft und Kunst

Bundesministerium f&amp;#x00FC;r Bildung und Forschung

S&amp;#x00E4;chsisches Staatsministerium f&amp;#x00FC;r Wissenschaft und Kunst

Bundesministerium f&amp;#x00FC;r Bildung und Forschung

S&amp;#x00E4;chsisches Staatsministerium f&amp;#x00FC;r Wissenschaft und Kunst
License Information

Text and Data Mining valid from 2024-02-01

Version of Record valid from 2024-02-01
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Article History

Received: 21 September 2023

Accepted: 16 January 2024

First Online: 1 February 2024

Competing interests

: The authors declare no competing interests.

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