Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma
Author:
Affiliation:
1. Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
2. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, China
Publisher
American Medical Association (AMA)
Subject
Ophthalmology
Link
http:///jamaophthalmology/article-pdf/137/3/288/17326413/jamaophthalmology_keel_2018_br_180023.pdf
Reference11 articles.
1. Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning.;Abràmoff;Invest Ophthalmol Vis Sci,2016
2. Automated identification of diabetic retinopathy using deep learning.;Gargeya;Ophthalmology,2017
3. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.;Gulshan;JAMA,2016
4. Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study.;Keel;Sci Rep,2018
5. Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes.;Ting;JAMA,2017
Cited by 84 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. The AI revolution in glaucoma: Bridging challenges with opportunities;Progress in Retinal and Eye Research;2024-11
2. DeepMonitoring: a deep learning-based monitoring system for assessing the quality of cornea images captured by smartphones;Frontiers in Cell and Developmental Biology;2024-08-27
3. Detection of Ophthalmic Disorders Through Deep Feature Fusion;2024 International Conference on Engineering & Computing Technologies (ICECT);2024-05-23
4. Prediction of Visual Outcome After Rhegmatogenous Retinal Detachment Surgery Using Artificial Intelligence Techniques;Translational Vision Science & Technology;2024-05-22
5. Artificial intelligence in chorioretinal pathology through fundoscopy: a comprehensive review;International Journal of Retina and Vitreous;2024-04-23
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3