Artificial intelligence–assisted detection of diabetic retinopathy on digital fundus images: concepts and applications in the National Health Service-Reference-Cited by-同舟云学术

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Artificial intelligence–assisted detection of diabetic retinopathy on digital fundus images: concepts and applications in the National Health Service

Published:2020 Issue: Volume: Page:261-278
ISSN:
Container-title:Innovation in Health Informatics
language:
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Author:

Kouroupis Michael,Korfiatis Nikolaos,Cornford James

Publisher

Elsevier

Reference58 articles.

1. A survey on automated microaneurysm detection in diabetic retinopathy retinal images;Agrawal,2013

2. Identification and classification of microaneurysms for early detection of diabetic retinopathy;Akram;Pattern Recognition,2013

3. The politics of angst in Robot City, USA;Alexander;MIT Technology Review,2018

4. Why policymakers should care about “big data” in healthcare;Bates;Health Policy and Technology,2018

5. Big data and machine learning in health care;Beam;Journal of the American Medical Association,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VGG16-based intelligent image analysis in the pathological diagnosis of IgA nephropathy;Journal of Radiation Research and Applied Sciences;2023-09

2. A review of diabetic retinopathy: Datasets, approaches, evaluation metrics and future trends;Journal of King Saud University - Computer and Information Sciences;2021-06

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