Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children-Reference-Cited by-同舟云学术

Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children

Published:2020-08 Issue: Volume:142 Page:183-189
ISSN:0090-4295
Container-title:Urology
language:en
Short-container-title:Urology

Author:

Yin Shi,Peng Qinmu,Li Hongming,Zhang Zhengqiang,You Xinge,Fischer Katherine,Furth Susan L.,Fan Yong,Tasian Gregory E.

Funder

National Institutes of Health

National Center for Advancing Translational Sciences of the National Institutes of Health

National Natural Science Foundation of China

International S&T Cooperation Projects of China

Hubei Province Technological Innovation Major Project

Institute for Translational Medicine and Therapeutics’

Publisher

Elsevier BV

Subject

Urology

Reference22 articles.

1. Urological disorders in chronic kidney disease in children cohort: clinical characteristics and estimation of glomerular filtration rate;Dodson;J Urol,2011

2. Prenatal detection of congenital renal malformations by fetal ultrasonographic examination: an analysis of 709,030 births in 12 European Countries;Wiesel;Eur J Med Genet,2005

3. Ultrasound screening strategies for the diagnosis of congenital anomalies of the kidney and urinary tract;Richter-Rodier;Ultraschall in Med,2012

4. Diagnostic accuracy of postnatal ultrasound screening for urinary tract abnormalities;Hálek;Pediatr Nephrol,2009

5. Interobserver and intra-observer reliability of the urinary tract dilation classification system in neonates: a mlticenter study;Nelson;J Urol,2019

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