标题
Artificial intelligence for diabetic retinopathy screening: a review
作者
关键词
-
出版物
EYE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-09-07
DOI
10.1038/s41433-019-0566-0
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。- Microaneurysm turnover is a predictor of diabetic retinopathy progression
- (2018) Rajeev K R Pappuru et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
- (2018) Daniel S. Kermany et al. CELL
- Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
- (2018) Ramachandran Rajalakshmi et al. EYE
- Guidelines on Diabetic Eye Care
- (2018) Tien Y. Wong et al. OPHTHALMOLOGY
- Clinically applicable deep learning for diagnosis and referral in retinal disease
- (2018) Jeffrey De Fauw et al. NATURE MEDICINE
- An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs
- (2018) Zhixi Li et al. DIABETES CARE
- Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes
- (2017) Daniel Shu Wei Ting et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Automated Identification of Diabetic Retinopathy Using Deep Learning
- (2017) Rishab Gargeya et al. OPHTHALMOLOGY
- Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm—Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy
- (2017) Pritam Bawankar et al. PLoS One
- Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
- (2017) Paras Lakhani et al. RADIOLOGY
- An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness
- (2016) Adnan Tufail et al. HEALTH TECHNOLOGY ASSESSMENT
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Results of Automated Retinal Image Analysis for Detection of Diabetic Retinopathy from the Nakuru Study, Kenya
- (2015) Morten B. Hansen et al. PLoS One
- Microaneurysm Turnover in Diabetic Retinopathy Assessed by Automated RetmarkerDR Image Analysis - Potential Role as Biomarker of Response to Ranibizumab Treatment
- (2014) Simon F. Leicht et al. OPHTHALMOLOGICA
- Screening for Diabetic Retinopathy in the Central Region of Portugal. Added Value of Automated �Disease/No Disease' Grading
- (2014) Luisa Ribeiro et al. OPHTHALMOLOGICA
- A comparison of the causes of blindness certifications in England and Wales in working age adults (16–64 years), 1999–2000 with 2009–2010
- (2014) Gerald Liew et al. BMJ Open
- MICROANEURYSM FORMATION RATE AS A PREDICTIVE MARKER FOR PROGRESSION TO CLINICALLY SIGNIFICANT MACULAR EDEMA IN NONPROLIFERATIVE DIABETIC RETINOPATHY
- (2013) Christos Haritoglou et al. RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES
- Automated Analysis of Retinal Images for Detection of Referable Diabetic Retinopathy
- (2013) Michael D. Abràmoff et al. JAMA Ophthalmology
- Microaneurysm Turnover at the Macula Predicts Risk of Development of Clinically Significant Macular Edema in Persons With Mild Nonproliferative Diabetic Retinopathy
- (2012) M. L. Ribeiro et al. DIABETES CARE
- Global Prevalence and Major Risk Factors of Diabetic Retinopathy
- (2012) J. W. Y. Yau et al. DIABETES CARE
- The worldwide epidemic of diabetic retinopathy
- (2012) Nathan Congdon et al. INDIAN JOURNAL OF OPHTHALMOLOGY
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