Ophthalmology and the emergence of artificial intelligence-Reference-Cited by-同舟云学术

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Ophthalmology and the emergence of artificial intelligence

Published:2021-02-14 Issue:4 Volume:214 Page:155
ISSN:0025-729X
Container-title:Medical Journal of Australia
language:en
Short-container-title:Medical Journal of Australia

Author:

Scheetz Jane¹^ORCID,He Mingguang¹²,Wijngaarden Peter¹³

Affiliation:

1. Centre for Eye Research Australia Royal Victorian Eye and Ear Hospital University of Melbourne Melbourne VIC

2. State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat‐sen University Guangzhou China

3. University of Melbourne Melbourne VIC

Publisher

AMPCo

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.5694/mja2.50932

Reference19 articles.

1. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

2. Artificial intelligence in retina

3. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

4. An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

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4. A novel micro-scaled multi-layered optical stress sensor for force sensing;Journal of Computational Electronics;2023-03-31

5. Citation trends in ophthalmology articles and keywords in mainland China, Hong Kong, and Taiwan since 2013 using temporal bar graphs (TBGs): Bibliometric analysis;Medicine;2022-12-30

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