Automated retinopathy of prematurity screening using deep neural networks

Author:

Wang Jianyong,Ju Rong,Chen Yuanyuan,Zhang Lei,Hu JunjieORCID,Wu Yu,Dong Wentao,Zhong Jie,Yi ZhangORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference27 articles.

1. Analysis of underlying causes of inter-expert disagreement in retinopathy of prematurity diagnosis. Application of machine learning principles;Ataer-Cansizoglu;Methods Inf Med,2015

2. Revised indications for the treatment of retinopathy of prematurity: results of the early treatment for retinopathy of prematurity randomized trial;Early Treatment For Retinopathy Of Prematurity Cooperative Group;Arch Ophthalmol,2004

3. Automated retinopathy of prematurity case detection with convolutional neural networks;Worrall,2016

4. American Academy of Ophthalmology. Ophthalmologists warn of shortage in specialists who treat premature babies with blinding eye condition, 2008.

5. Neonatologists'practices and experiences in arranging retinopathy of prematurity screening services;Kemper;Pediatrics,2007

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