Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves-Reference-Cited by-同舟云学术

Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves

Published:2022-07-22 Issue:3 Volume:38 Page:839-846
ISSN:0931-041X
Container-title:Pediatric Nephrology
language:en
Short-container-title:Pediatr Nephrol

Author:

Weaver John K.,Milford Karen,Rickard Mandy,Logan Joey,Erdman Lauren,Viteri Bernarda,D’Souza Neeta,Cucchiara Andy,Skreta Marta,Keefe Daniel,Shah Salima,Selman Antoine,Fischer Katherine,Weiss Dana A.,Long Christopher J.,Lorenzo Armando,Fan Yong,Tasian Greg E.

Funder

NIH NIDDK

NIH

Publisher

Springer Science and Business Media LLC

Subject

Nephrology,Pediatrics, Perinatology and Child Health

Link

https://link.springer.com/content/pdf/10.1007/s00467-022-05677-0.pdf

Reference29 articles.

1. Krishnan A, de Souza A, Konijeti R, Baski LS (2006) The anatomy and embryology of posterior urethral valves. J Urol 175:1214–1220

2. Gunn TR, Mora JD, Pease P (1995) Antenatal diagnosis of urinary tract abnormalities by ultrasonography after 28 weeks’ gestation: incidence and outcome. Am J Obstet Gynecol 172:479–486