Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography
暂无分享,去创建一个
Tyson N. Kim | D. Fletcher | K. Solanki | Sandeep Bhat | Malavika Bhaskaranand | T. Margolis | Y. Paulus | Michael Aaberg | Jose R. Davila | Patrick Li | F. Myers | Chaithanya A. Ramachandra | Rohan A. Jalalizadeh | Clay Reber
[1] Grading Diabetic Retinopathy from Stereoscopic Color Fundus Photographs - An Extension of the Modified Airlie House Classification: ETDRS Report Number 10. , 2020, Ophthalmology.
[2] Tyson N. Kim,et al. Usability testing of a smartphone-based retinal camera among first-time users in the primary care setting , 2019, BMJ Innovations.
[3] Tyson N. Kim,et al. Smartphone-based fundus photography for screening of plus-disease retinopathy of prematurity , 2019, Graefe's Archive for Clinical and Experimental Ophthalmology.
[4] Tyson N. Kim,et al. Smartphone-Based, Rapid, Wide-Field Fundus Photography for Diagnosis of Pediatric Retinal Diseases , 2019, Translational vision science & technology.
[5] Todd Margolis,et al. A Smartphone-Based Tool for Rapid, Portable, and Automated Wide-Field Retinal Imaging , 2018, bioRxiv.
[6] Nishanthan Ramachandran,et al. Diabetic retinopathy screening using deep neural network , 2018, Clinical & experimental ophthalmology.
[7] Mahdieh Poostchi,et al. Image analysis and machine learning for detecting malaria , 2018, Translational research : the journal of laboratory and clinical medicine.
[8] V. Mohan,et al. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence , 2018, Eye.
[9] M. He,et al. Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs. , 2018, Ophthalmology.
[10] Daniel S. Kermany,et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning , 2018, Cell.
[11] E. Finkelstein,et al. Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes , 2017, JAMA.
[12] Haibo Mi,et al. Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image , 2017, Molecules.
[13] Jonathan Krause,et al. Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy , 2017, Ophthalmology.
[14] Xincheng Yao,et al. WIDE-FIELD SMARTPHONE FUNDUS VIDEO CAMERA BASED ON MINIATURIZED INDIRECT OPHTHALMOSCOPY , 2017, Retina.
[15] Massimo Salvetti,et al. Ocular fundus photography with a smartphone device in acute hypertension , 2017, Journal of hypertension.
[16] Eileen L. Mayro,et al. Non-adherence to eye care in people with diabetes , 2017, BMJ Open Diabetes Research & Care.
[17] Anthony J Viera,et al. Evaluation of Diabetic Retinal Screening and Factors for Ophthalmology Referral in a Telemedicine Network , 2017, JAMA ophthalmology.
[18] Rishab Gargeya,et al. Automated Identification of Diabetic Retinopathy Using Deep Learning. , 2017, Ophthalmology.
[19] Tyson N. Kim,et al. Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography , 2017 .
[20] Sophia Y. Wang,et al. Incidence and Risk Factors for Developing Diabetic Retinopathy among Youths with Type 1 or Type 2 Diabetes throughout the United States. , 2017, Ophthalmology.
[21] P. Scanlon. The English National Screening Programme for diabetic retinopathy 2003–2016 , 2017, Acta Diabetologica.
[22] Subhashini Venugopalan,et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. , 2016, JAMA.
[23] D. DeBuc. The Role of Retinal Imaging and Portable Screening Devices in Tele-ophthalmology Applications for Diabetic Retinopathy Management , 2016, Current Diabetes Reports.
[24] M. Fisher,et al. Evaluating Adherence to Dilated Eye Examination Recommendations Among Patients with Diabetes, Combined with Patient and Provider Perspectives. , 2016, American health & drug benefits.
[25] M. Abràmoff,et al. Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning. , 2016, Investigative ophthalmology & visual science.
[26] C. Costagliola,et al. Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio , 2016, Journal of glaucoma.
[27] Brian C. Toy,et al. SMARTPHONE-BASED DILATED FUNDUS PHOTOGRAPHY AND NEAR VISUAL ACUITY TESTING AS INEXPENSIVE SCREENING TOOLS TO DETECT REFERRAL WARRANTED DIABETIC EYE DISEASE , 2016, Retina.
[28] Shriji N. Patel,et al. Disparities in Adherence to Screening Guidelines for Diabetic Retinopathy in the United States: A Comprehensive Review and Guide for Future Directions , 2016, Seminars in ophthalmology.
[29] D. Hu,et al. Association between socioeconomic status and metabolic control and diabetes complications: a cross-sectional nationwide study in Chinese adults with type 2 diabetes mellitus , 2016, Cardiovascular Diabetology.
[30] Jennifer K. Sun,et al. Vascular Endothelial Growth Factor and Diabetic Retinal Disease , 2016, Seminars in ophthalmology.
[31] Jennifer K. Sun,et al. The Future of Ultrawide Field Imaging for Diabetic Retinopathy: Pondering the Retinal Periphery. , 2016, JAMA ophthalmology.
[32] Chaithanya A Ramachandra,et al. Automated Diabetic Retinopathy Screening and Monitoring Using Retinal Fundus Image Analysis , 2016, Journal of diabetes science and technology.
[33] Robert E. Coffee,et al. Evaluation of Automated Teleretinal Screening Program for Diabetic Retinopathy. , 2016, JAMA ophthalmology.
[34] Vijayaraghavan Prathiba,et al. Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography. , 2015, Ophthalmology.
[35] Stuart K Gardiner,et al. Long-term Comparative Effectiveness of Telemedicine in Providing Diabetic Retinopathy Screening Examinations: A Randomized Clinical Trial. , 2015, JAMA ophthalmology.
[36] Sunil Gupta,et al. Diabetic retinopathy screening and the use of telemedicine , 2015, Current opinion in ophthalmology.
[37] Jennifer K. Sun,et al. Peripheral Lesions Identified on Ultrawide Field Imaging Predict Increased Risk of Diabetic Retinopathy Progression over 4 Years. , 2015, Ophthalmology.
[38] Andrea Russo,et al. Comparison of smartphone ophthalmoscopy with slit-lamp biomicroscopy for grading diabetic retinopathy. , 2015, American journal of ophthalmology.
[39] Matthew Burton,et al. A smartphone based ophthalmoscope , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[40] S. Whitcup,et al. Three-year, randomized, sham-controlled trial of dexamethasone intravitreal implant in patients with diabetic macular edema. , 2014, Ophthalmology.
[41] N. White,et al. Effect of Intensive Diabetes Therapy on the Progression of Diabetic Retinopathy in Patients With Type 1 Diabetes: 18 Years of Follow-up in the DCCT/EDIC , 2014, Diabetes.
[42] Dawn A Sim,et al. Patterns of peripheral retinal and central macula ischemia in diabetic retinopathy as evaluated by ultra-widefield fluorescein angiography. , 2014, American journal of ophthalmology.
[43] D. Gibson. Eye care availability and access among individuals with diabetes, diabetic retinopathy, or age-related macular degeneration. , 2014, JAMA ophthalmology.
[44] Robert T. Chang,et al. 3D Printed Smartphone Indirect Lens Adapter for Rapid, High Quality Retinal Imaging , 2014 .
[45] P. Osaadon,et al. A review of anti-VEGF agents for proliferative diabetic retinopathy , 2014, Eye.
[46] Gerald Liew,et al. 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, BMJ Open.
[47] A. Motala,et al. Global estimates of undiagnosed diabetes in adults. , 2014, Diabetes research and clinical practice.
[48] Robi N. Maamari,et al. A mobile phone-based retinal camera for portable wide field imaging , 2013, British Journal of Ophthalmology.
[49] Nicoleta Serban,et al. Evaluation of telemedicine for screening of diabetic retinopathy in the Veterans Health Administration. , 2013, Ophthalmology.
[50] Paul P. Lee,et al. Socioeconomic disparity in use of eye care services among US adults with age-related eye diseases: National Health Interview Survey, 2002 and 2008. , 2013, JAMA ophthalmology.
[51] Elizabeth Ablah,et al. Does availability of expanded point-of-care services improve outcomes for rural diabetic patients? , 2013, Primary care diabetes.
[52] G. Quellec,et al. Automated analysis of retinal images for detection of referable diabetic retinopathy. , 2013, JAMA ophthalmology.
[53] J. Rosenberg,et al. Compliance with screening guidelines for diabetic retinopathy in a large academic children's hospital in the Bronx. , 2011, Journal of diabetes and its complications.
[54] A. Avogaro,et al. Screening for diabetic retinopathy: 1 and 3 nonmydriatic 45-degree digital fundus photographs vs 7 standard early treatment diabetic retinopathy study fields. , 2009, American journal of ophthalmology.
[55] C. Thivolet,et al. Screening of diabetic retinopathy: effect of field number and mydriasis on sensitivity and specificity of digital fundus photography. , 2008, Diabetes & metabolism.
[56] S. Bakri,et al. Management of proliferative diabetic retinopathy. , 2007, Comprehensive ophthalmology update.
[57] E. Higginbotham,et al. Knowledge, attitudes, and beliefs about dilated eye examinations among African-Americans. , 2007, Investigative ophthalmology & visual science.
[58] Ronald Klein,et al. Noncompliance with vision care guidelines in Latinos with type 2 diabetes mellitus: the Los Angeles Latino Eye Study. , 2006, Ophthalmology.
[59] J. Ellis,et al. Effect of mydriasis and different field strategies on digital image screening of diabetic eye disease , 2004, British Journal of Ophthalmology.
[60] R. Holman,et al. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. , 1998 .
[61] Uk-Prospective-Diabetes-Study-Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33) , 1998, The Lancet.
[62] Standards of Medical Care for Patients With Diabetes Mellitus , 1998, Diabetes Care.
[63] L. Howie,et al. Ophthalmic examination among adults with diagnosed diabetes mellitus. , 1993, JAMA.
[64] S. Genuth,et al. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. , 1993, The New England journal of medicine.
[65] F. Ferris,et al. How effective are treatments for diabetic retinopathy? , 1993, JAMA.
[66] Standards of Medical Care for Patients With Diabetes Mellitus , 1989, Diabetes Care.
[67] F. Ferris,et al. Photocoagulation for diabetic macular edema. , 1987, Archives of ophthalmology.
[68] A. Dukes,et al. Effects of Prolonged Glucagon Administration in the Cat and Dog , 1958, Diabetes.
[69] Manoj Raju,et al. Development of a Deep Learning Algorithm for Automatic Diagnosis of Diabetic Retinopathy , 2017, MedInfo.
[70] Leszek Czupryniak,et al. Nowy rok, stare problemy, ale i nowe możliwości , 2014 .
[71] R. Klein,et al. Diabetic retinopathy. , 2012, The New England journal of medicine.
[72] T. Sano,et al. [Diabetic retinopathy]. , 2001, Nihon rinsho. Japanese journal of clinical medicine.
[73] S. Riaskoff. Photocoagulation treatment of proliferative diabetic retinopathy. , 1981, Bulletin de la Societe belge d'ophtalmologie.