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A clinical microscopy dataset to develop a deep learning diagnostic test for urinary tract infection
Autor:
Natasha Liou, Trina De, Adrian Urbanski, Catherine Chieng, Qingyang Kong, Anna L. David, Rajvinder Khasriya, Artur Yakimovich, Harry Horsley
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract Urinary tract infection (UTI) is a common disorder. Its diagnosis can be made by microscopic examination of voided urine for markers of infection. This manual technique is technically difficult, time-consuming and prone to inter-observer err
Externí odkaz:
https://doaj.org/article/12fcb05bf0e145c7ac2a1f7fe61683c2
