[PDF] Digital versus film Fundus photography for research grading of diabetic retinopathy severity. | Semantic Scholar Skip to search formSkip to main content> Semantic Scholar's Logo Search Sign InCreate Free Account You are currently offline. Some features of the site may not work correctly. DOI:10.1167/iovs.09-4803 Corpus ID: 207561236Digital versus film Fundus photography for research grading of diabetic retinopathy severity. @article{Li2010DigitalVF, title={Digital versus film Fundus photography for research grading of diabetic retinopathy severity.}, author={H. Li and L. Hubbard and R. Danis and A. Esquivel and Jose F. Florez-Arango and N. Ferrier and E. Krupinski}, journal={Investigative ophthalmology & visual science}, year={2010}, volume={51 11}, pages={ 5846-52 } } H. Li, L. Hubbard, +4 authors E. Krupinski Published 2010 Medicine Investigative ophthalmology & visual science PURPOSE To assess agreement between digital and film photography for research classification of diabetic retinopathy severity. METHODS Digital and film photographs from a 152-eye cohort with a full spectrum of Early Treatment Diabetic Retinopathy Study (ETDRS) severity levels were assessed for repeatability of grading within each image medium and for agreement on ETDRS discrete severity levels, ascending severity thresholds, and presence or absence of diabetic retinopathy index lesions… Expand View on PubMed iovs.arvojournals.org Save to Library Create Alert Cite Launch Research Feed Share This Paper 27 CitationsBackground Citations 7 View All Figures, Tables, and Topics from this paper table 1 figure 1 table 2 figure 2 table 3 figure 3 View All 6 Figures & Tables Diabetic Retinopathy Retinal Diseases Histopathologic Grade Gastric Fundus Carcinoma In Situ Slide (glass microscope) photograph Congenital Abnormality Bead Dosage Form 27 Citations Citation Type Citation Type All Types Cites Results Cites Methods Cites Background Has PDF Publication Type Author More Filters More Filters Filters Sort by Relevance Sort by Most Influenced Papers Sort by Citation Count Sort by Recency Comparability of digital photography with the ETDRS film protocol for evaluation of diabetic retinopathy severity. H. Li, R. Danis, L. Hubbard, Jose F. Florez-Arango, A. Esquivel, E. Krupinski Computer Science, Medicine Investigative ophthalmology & visual science 2011 23 PDF Save Alert Research Feed Comparison of film and digital fundus photographs in eyes of individuals with diabetes mellitus. S. Gangaputra, Talat Almukhtar, +5 authors M. Davis Medicine Investigative ophthalmology & visual science 2011 33 Save Alert Research Feed GRADING DIABETIC RETINOPATHY SEVERITY FROM COMPRESSED DIGITAL RETINAL IMAGES COMPARED WITH UNCOMPRESSED IMAGES AND FILM Helen K. Li, J. Florez-Arango, L. Hubbard, A. Esquivel, R. Danis, Elizabeth A. Krupinski Medicine Retina 2010 9 Save Alert Research Feed MOSAICS VERSUS EARLY TREATMENT DIABETIC RETINOPATHY SEVEN STANDARD FIELDS FOR EVALUATION OF DIABETIC RETINOPATHY SEVERITY Helen K. Li, A. Esquivel, L. Hubbard, J. Florez-Arango, R. Danis, Elizabeth A. Krupinski Medicine Retina 2011 10 Save Alert Research Feed Comparison of digital and film grading of diabetic retinopathy severity in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. L. Hubbard, W. Sun, +6 authors M. Davis Medicine Archives of ophthalmology 2011 25 PDF Save Alert Research Feed Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography Juan Wang, Yujing Bai, Bin Xia Computer Science IEEE Access 2019 4 PDF Save Alert Research Feed Automatic detection of diabetic retinopathy and age-related macular degeneration in digital fundus images. C. Agurto, E. Barriga, +6 authors P. Soliz Medicine Investigative ophthalmology & visual science 2011 89 PDF Save Alert Research Feed Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy Jonathan Krause, Varun Gulshan, +5 authors Dale R. Webster Medicine, Computer Science Ophthalmology 2018 153 PDF Save Alert Research Feed Evidence for Telemedicine for Diabetic Retinal Disease A. Gupta, J. Cavallerano, J. Sun, P. Silva Medicine Seminars in ophthalmology 2017 28 Save Alert Research Feed A Fast Supervised Retinal Blood Vessel Segmentation Using Digital Fundus Imaging Chirag Bhatia, D. Bhatt, M. Choudhary, Harihar Samant, Pratvina Talele 2015 2 View 1 excerpt, cites background Save Alert Research Feed ... 1 2 3 ... References SHOWING 1-10 OF 24 REFERENCES SORT BYRelevance Most Influenced Papers Recency Web-based grading of compressed stereoscopic digital photography versus standard slide film photography for the diagnosis of diabetic retinopathy. C. Rudnisky, M. Tennant, E. Weis, A. Ting, B. J. Hinz, M. Greve Medicine Ophthalmology 2007 86 View 1 excerpt, references background Save Alert Research Feed Screening for diabetic retinopathy: 1 and 3 nonmydriatic 45-degree digital fundus photographs vs 7 standard early treatment diabetic retinopathy study fields. S. Vujosevic, E. Benetti, +5 authors E. Midena Medicine American journal of ophthalmology 2009 110 PDF Save Alert Research Feed The sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a comparison with ophthalmoscopy and standardized mydriatic color photography. D. Lin, M. Blumenkranz, R. J. Brothers, D. Grosvenor Medicine American journal of ophthalmology 2002 295 View 1 excerpt, references methods Save Alert Research Feed Clinical evaluation of patients with diabetic retinopathy: accuracy of the Inoveon diabetic retinopathy-3DT system. S. Fransen, T. Leonard-Martin, W. Feuer, P. L. Hildebrand Medicine Ophthalmology 2002 92 Save Alert Research Feed Stereo nonmydriatic digital-video color retinal imaging compared with Early Treatment Diabetic Retinopathy Study seven standard field 35-mm stereo color photos for determining level of diabetic retinopathy. S. Bursell, J. Cavallerano, +4 authors L. Aiello Medicine Ophthalmology 2001 247 PDF Save Alert Research Feed USE OF JOSLIN VISION NETWORK DIGITAL-VIDEO NONMYDRIATIC RETINAL IMAGING TO ASSESS DIABETIC RETINOPATHY IN A CLINICAL PROGRAM A. Cavallerano, J. Cavallerano, P. Katalinic, A. Tolson, L. Aiello, L. Aiello Medicine Retina 2003 94 PDF View 1 excerpt, references background Save Alert Research Feed Brightness, contrast, and color balance of digital versus film retinal images in the age-related eye disease study 2. L. Hubbard, R. Danis, +5 authors Michael F Pugliese Mathematics, Medicine Investigative ophthalmology & visual science 2008 63 PDF Save Alert Research Feed The accuracy of digital-video retinal imaging to screen for diabetic retinopathy: an analysis of two digital-video retinal imaging systems using standard stereoscopic seven-field photography and dilated clinical examination as reference standards. M. Lawrence Medicine Transactions of the American Ophthalmological Society 2004 42 PDF Save Alert Research Feed Tele-ophthalmology via stereoscopic digital imaging: a pilot project. M. Tennant, C. Rudnisky, B. J. Hinz, I. MacDonald, M. Greve Medicine Diabetes technology & therapeutics 2000 33 View 1 excerpt, references background Save Alert Research Feed Improving Diabetic Retinopathy Screening Ratios Using Telemedicine-Based Digital Retinal Imaging Technology Cathy R. Taylor, L. Merin, +4 authors B. Pilon Medicine Diabetes Care 2007 99 PDF Save Alert Research Feed ... 1 2 3 ... 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