Deep Learning in Urological Images Using Convolutional Neural Networks: An Artificial Intelligence Study

OBJECTIVE: Using artificial intelligence and a deep learning algorithm can differentiate vesicoureteral reflux and hydronephrosis reliably. MATERIAL AND METHODS: An online dataset of vesicoureteral reflux and hydronephrosis images were abstracted. We developed image analysis and deep learning workfl...

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Detalles Bibliográficos
Autores principales: Serel, Ahmet, Ozturk, Sefa Alperen, Soyupek, Sedat, Serel, Huseyin Bulut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Association of Urology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612695/
https://www.ncbi.nlm.nih.gov/pubmed/35913446
http://dx.doi.org/10.5152/tud.2022.22030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9612695/
https://www.ncbi.nlm.nih.gov/pubmed/35913446
http://dx.doi.org/10.5152/tud.2022.22030

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