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Deep learning model-assisted detection of kidney stones on computed tomography

INTRODUCTION: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images. MATERIALS AND METHODS: This retrospective study included 455 patients who underwent CT sca...

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Detalles Bibliográficos
Autores principales:	Caglayan, Alper, Horsanali, Mustafa Ozan, Kocadurdu, Kenan, Ismailoglu, Eren, Guneyli, Serkan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Sociedade Brasileira de Urologia 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388181/ https://www.ncbi.nlm.nih.gov/pubmed/35838509 http://dx.doi.org/10.1590/S1677-5538.IBJU.2022.0132

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