Deep learning of renal scans in children with antenatal hydronephrosis-Reference-Cited by-同舟云学术

Deep learning of renal scans in children with antenatal hydronephrosis

Published:2023-10 Issue:5 Volume:19 Page:514.e1-514.e7
ISSN:1477-5131
Container-title:Journal of Pediatric Urology
language:en
Short-container-title:Journal of Pediatric Urology

Author:

Weaver J.K.^ORCID,Logan J.^ORCID,Broms R.,Antony M.,Rickard M.,Erdman L.,Edwins R.,Pominville R.,Hannick J.^ORCID,Woo L.,Viteri B.^ORCID,D'Souza N.,Viswanath S.E.,Flask C.,Lorenzo A.^ORCID,Fan Y.,Tasian G.E.

Publisher

Elsevier BV

Subject

Urology,Pediatrics, Perinatology and Child Health

Reference33 articles.

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3. Clinical outcome of children with antenatally diagnosed hydronephrosis;Chiodini;Front Pediatr,2019

4. Obstructive uropathy;Becker;Early Hum Dev,2006

5. International scientific committee of radionuclides in nephrourology (ISCORN) consensus on renal transit time measurements;Durand;Semin Nucl Med,2008

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3. Application of STREAM-URO and APPRAISE-AI reporting standards for artificial intelligence studies in pediatric urology: A case example with pediatric hydronephrosis;Journal of Pediatric Urology;2024-06

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5. The conundrum of high-grade hydronephrosis with non-obstructive drainage on diuretic renography;Journal of Pediatric Urology;2024