DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity
出版年份 2022 全文链接
标题
DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and Severity
作者
关键词
Artificial intelligence, Automated diagnosis, Cataract, Cortical cataract, Deep learning, Nuclear sclerosis, Posterior subcapsular cataract, Severity classification, Telemedicine, Teleophthalmology
出版物
OPHTHALMOLOGY
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2022-01-04
DOI
10.1016/j.ophtha.2021.12.017
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- The Lancet Global Health Commission on Global Eye Health: vision beyond 2020
- (2021) Matthew J Burton et al. Lancet Global Health
- Global and regional prevalence of age-related cataract: a comprehensive systematic review and meta-analysis
- (2020) Hassan Hashemi et al. EYE
- Deep learning automated detection of reticular pseudodrusen from fundus autofluorescence images or color fundus photographs in AREDS2
- (2020) Tiarnan D. Keenan et al. OPHTHALMOLOGY
- Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
- (2020) Darren Shu Jeng Ting et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Can applying a risk stratification system, preoperatively, reduce intraoperative complications during Phacoemulsification?
- (2020) Pakinee Pooprasert et al. CURRENT EYE RESEARCH
- Factors associated with the uptake of cataract surgery and interventions to improve uptake in low- and middle-income countries: A systematic review
- (2020) Eunice Wandia Mailu et al. PLoS One
- Advances in Telemedicine in Ophthalmology
- (2020) Deep Parikh et al. Seminars in Ophthalmology
- Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization
- (2020) Xiaohang Wu et al. Annals of Translational Medicine
- Evaluation of Nuclear Cataract with Smartphone-Attachable Slit-Lamp Device
- (2020) Hiroyuki Yazu et al. Diagnostics
- Automated diagnosis and staging of Fuchs’ endothelial cell corneal dystrophy using deep learning
- (2020) Taher Eleiwa et al. Eye and Vision
- Cohort profile: The Singapore Epidemiology of Eye Diseases study (SEED)
- (2020) Shivani Majithia et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis for the Global Burden of Disease Study
- (2020) Jaimie D Steinmetz et al. Lancet Global Health
- Federated Machine Learning
- (2019) Qiang Yang et al. ACM Transactions on Intelligent Systems and Technology
- Estimated number of ophthalmologists worldwide (International Council of Ophthalmology update): will we meet the needs?
- (2019) Serge Resnikoff et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Universal artificial intelligence platform for collaborative management of cataracts
- (2019) Xiaohang Wu et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Thirty Year Projected Magnitude (to 2050) of Near and Distance Vision Impairment and the Economic Impact if Existing Solutions are Implemented Globally
- (2019) Andrew Bastawrous et al. OPHTHALMIC EPIDEMIOLOGY
- Artificial intelligence and deep learning in ophthalmology
- (2018) Daniel Shu Wei Ting et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Cataract grading systems
- (2018) Helena E. Gali et al. CURRENT OPINION IN OPHTHALMOLOGY
- DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs
- (2018) Yifan Peng et al. OPHTHALMOLOGY
- Cataracts
- (2017) Yu-Chi Liu et al. LANCET
- Global causes of blindness and distance vision impairment 1990–2020: a systematic review and meta-analysis
- (2017) Seth R Flaxman et al. Lancet Global Health
- A Pilot Study to Propose a "Harm Scale", a New Method to Predict Risk of Harm to the Corneal Endothelium Caused by Longitudinal Phacoemulsification, and the Subsequent Effect of Endothelial Damage on Post Operative Visual Acuity
- (2016) Francesco Saverio Sorrentino et al. PLoS One
- Automatic Feature Learning to Grade Nuclear Cataracts Based on Deep Learning
- (2015) Xinting Gao et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Cataract
- (2015) Dennis Lam et al. Nature Reviews Disease Primers
- Barriers for Poor Cataract Surgery Uptake among Patients with Operable Cataract in a Program of Outreach Screening and Low-cost Surgery in Rural China
- (2014) Xiu Juan Zhang et al. OPHTHALMIC EPIDEMIOLOGY
- Blindness and visual impairment due to age-related cataract in sub-Saharan Africa: a systematic review of recent population-based studies
- (2013) Andrew Bastawrous et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Phacopower Modulation and the Risk for Postoperative Corneal Decompensation
- (2013) Muriël Doors et al. JAMA Ophthalmology
- Prevalence of Lens Opacities in Asian Malays
- (2012) Ava Grace Tan et al. OPHTHALMIC EPIDEMIOLOGY
- The cataract national data set electronic multi-centre audit of 55 567 operations: case-mix adjusted surgeon's outcomes for posterior capsule rupture
- (2011) J M Sparrow et al. EYE
- Cataract Prevalence Varies Substantially with Assessment Systems: Comparison of Clinical and Photographic Grading in a Population-Based Study
- (2011) Anna C. S. Tan et al. OPHTHALMIC EPIDEMIOLOGY
- Risk Factors Associated with Incident Cataracts and Cataract Surgery in the Age-Related Eye Disease Study (AREDS)
- (2011) Jessica R. Chang et al. OPHTHALMOLOGY
- Evaluation of the Age-Related Eye Disease Study Clinical Lens Grading SystemAREDS Report No. 31
- (2010) Emily Y. Chew et al. OPHTHALMOLOGY
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