Artificial Intelligence in Pediatric Urology

Author:

Scott Wang Hsin-Hsiao,Vasdev Ranveer,Nelson Caleb P.

Publisher

Elsevier BV

Subject

Urology

Reference47 articles.

1. Current status of artificial intelligence applications in urology and their potential to influence clinical practice;Chen;BJU Int,2019

2. Quantitative Ultrasound for Measuring Obstructive Severity in Children with Hydronephrosis;Cerrolaza;J Urol,2016

3. Computer-Aided Diagnosis of Congenital Abnormalities of the Kidney and Urinary Tract in Children Using a Multi-Instance Deep Learning Method Based on Ultrasound Imaging Data;Yin;Proc IEEE Int Symp Biomed Imaging,2020

4. Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children;Yin;Urology,2020

5. Deep-learning segmentation of ultrasound images for automated calculation of the hydronephrosis area to renal parenchyma ratio;Song;Investig Clin Urol,2022

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