Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Early Diagnosis and Quantitative Analysis of Stages in Retinopathy of Prematurity Based on Deep Convolutional Neural Networks

Published:2022-05-17 Issue:5 Volume:11 Page:17
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Li Peng¹²,Liu Jia³

Affiliation:

1. School of Electronic and Information Engineering, Tongji University, Shanghai,China

2. Department of Electronic and Information Engineering, Tongji Zhejiang College, Jiaxing, China

3. Optometry Center, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, China

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Subject

Ophthalmology,Biomedical Engineering

Reference40 articles.

1. Retinopathy of prematurity: diagnosis, severity, and natural history;Flynn;Ophthalmology,1987

2. Characteristics of infants with severe retinopathy of prematurity in countries with low, moderate, and high levels of development: implications for screening programs;Gilbert;Pediatrics,2005

3. An international classification of retinopathy of prematurity;Arch Ophthalmol,1984

4. The international classification of retinopathy of prematurity revisited;Arch Ophthalmol,2005

5. International Classification of Retinopathy of Prematurity, Third Edition;Chiang;Ophthalmology,2021

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1. An Interpretable System for Screening the Severity Level of Retinopathy in Premature Infants Using Deep Learning;Bioengineering;2024-08-05

2. Transforming the future of ophthalmology: artificial intelligence and robotics’ breakthrough role in surgical and medical retina advances: a mini review;Frontiers in Medicine;2024-07-15

3. Image Analysis–Based Machine Learning for the Diagnosis of Retinopathy of Prematurity;Ophthalmology Retina;2024-07

4. Automated detection of type 1 ROP, type 2 ROP and A-ROP based on deep learning;Eye;2024-06-25

5. Deep Learning for Classifying Stages of Retinopathy of Prematurity;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

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