Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study-Reference-Cited by-同舟云学术

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study

Published:2023-06 Issue:6 Volume:5 Page:e340-e349
ISSN:2589-7500
Container-title:The Lancet Digital Health
language:en
Short-container-title:The Lancet Digital Health

Author:

Wagner Siegfried K,Liefers Bart,Radia Meera,Zhang Gongyu,Struyven Robbert,Faes Livia,Than Jonathan,Balal Shafi,Hennings Charlie,Kilduff Caroline,Pooprasert Pakinee,Glinton Sophie,Arunakirinathan Meena,Giannakis Periklis,Braimah Imoro Zeba,Ahmed Islam S H,Al-Feky Mariam,Khalid Hagar,Ferraz Daniel,Vieira Juliana,Jorge Rodrigo,Husain Shahid,Ravelo Janette,Hinds Anne-Marie,Henderson Robert,Patel Himanshu I,Ostmo Susan,Campbell J Peter,Pontikos Nikolas,Patel Praveen J,Keane Pearse A,Adams Gill,Balaskas Konstantinos

Funder

Moorfields Eye Hospital NHS Foundation Trust

NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research

UCL Institute of Ophthalmology, University College London

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference47 articles.

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3. Screening examination of premature infants for retinopathy of prematurity;Fierson;Pediatrics,2018