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...

Descripción completa

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

Internet

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

Ejemplares similares