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Results 1 to 25 of 89

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Nonmydriatic Digital Retinal Images for Determining Diabetic RetinopathyTANTERDTHAM, Jutalai; SINGALAVANIJA, Apichart; NAMATRA, Chakrapong et al.Chot Mai Het Thang Phaet. 2007, Vol 90, Num 3, pp 508-512, issn 0125-2208, 5 p.Article

Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus imagesKÖSE, Cemal; SEVIK, Ugur; IKIBAS, Cevat et al.Computer methods and programs in biomedicine (Print). 2012, Vol 107, Num 2, pp 274-293, issn 0169-2607, 20 p.Article

An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal ImagesDASHTBOZORG, Behdad; MENDONCA, Ana Maria; CAMPILHO, Aurélio et al.IEEE transactions on image processing. 2014, Vol 23, Num 3-4, pp 1073-1083, issn 1057-7149, 11 p.Article

Simple 3-D stimulus for motion parallax and its simulationONO, Hiroshi; CHORNENKYY, Yevgen; D'AMOUR, Sarah et al.Perception (London. Print). 2013, Vol 42, Num 5, pp 577-579, issn 0301-0066, 3 p.Article

Accuracy of diabetic retinopathy screening by trained non-physician graders using non-mydriatic fundus cameraBHARGAVA, Mayuri; CHEUN, Carol Yim-Lui; WONG, Wanling et al.Singapore medical journal. 2012, Vol 53, Num 11, pp 715-719, issn 0037-5675, 5 p.Article

Personal authentication using digital retinal imagesMARINO, C; PENEDO, M. G; PENAS, M et al.Pattern analysis and applications (Print). 2006, Vol 9, Num 1, pp 21-33, issn 1433-7541, 13 p.Article

Quantification of blood vessel calibre in retinal images of multi-ethnic school children using a model based approachFRAZ, M. M; REMAGNINO, P; HOPPE, A et al.Computerized medical imaging and graphics. 2013, Vol 37, Num 1, pp 48-60, issn 0895-6111, 13 p.Article

AN EFFICIENT KOHONEN-FUZZY NEURAL NETWORK BASED ABNORMAL RETINAL IMAGE CLASSIFICATION SYSTEMANITHA, J; JUDE HEMANTH, D.Neural Network World (Prague). 2013, Vol 23, Num 2, pp 149-167, issn 1210-0552, 19 p.Article

A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image RegistrationJIAN CHEN; JIE TIAN; LEE, Noah et al.IEEE transactions on biomedical engineering. 2010, Vol 57, Num 7, pp 1707-1718, issn 0018-9294, 12 p.Article

Segmentation of retinal blood vessels using the radial projection and semi-supervised approachXINGE YOU; QINMU PENG; YUAN YUAN et al.Pattern recognition. 2011, Vol 44, Num 10-11, pp 2314-2324, issn 0031-3203, 11 p.Article

VE-LLI-VO: Vessel Enhancement Using Local Line Integrals and Variational OptimizationYUAN YUAN; YISHAN LUO; CHUNG, Albert C. S et al.IEEE transactions on image processing. 2011, Vol 20, Num 7, pp 1912-1924, issn 1057-7149, 13 p.Article

Depth Discontinuity-Based Cup Segmentation From Multiview Color Retinal ImagesGOPAL DATT JOSHI; JAYANTHI SIVASWAMY; KRISHNADAS, S. R et al.IEEE transactions on biomedical engineering. 2012, Vol 59, Num 6, pp 1523-1531, issn 0018-9294, 9 p.Article

Novel and adaptive contribution of the red channel in pre-processing of colour fundus imagesSALEM, Nancy M; NANDI, Asoke K.Journal of the Franklin Institute. 2007, Vol 344, Num 3-4, pp 243-256, issn 0016-0032, 14 p.Article

Statistical atlas based exudate segmentationALI, Sharib; SIDIBE, Désiré; ADAL, Kedir M et al.Computerized medical imaging and graphics. 2013, Vol 37, Num 5-6, pp 358-368, issn 0895-6111, 11 p.Article

Blood vessel segmentation methodologies in retinal images ― A surveyFRAZ, M. M; REMAGNINO, P; HOPPE, A et al.Computer methods and programs in biomedicine (Print). 2012, Vol 108, Num 1, pp 407-433, issn 0169-2607, 27 p.Article

Combined effect of wavelength and polarization in double-pass retinal images in the human eyeBUENO, Juan M; PEREZ, Guillermo M.Vision research (Oxford). 2010, Vol 50, Num 23, pp 2439-2444, issn 0042-6989, 6 p.Article

Blur discrimination of the human eye in the near retinal peripheryBIN WANG; CIUFFREDA, Kenneth J.Optometry and vision science. 2005, Vol 82, Num 1, pp 52-58, issn 1040-5488, 7 p.Article

Depth of focus and visual acuity with primary and secondary spherical aberrationFAN YI; ISKANDER, D. Robert; COLLINS, Michael et al.Vision research (Oxford). 2011, Vol 51, Num 14, pp 1648-1658, issn 0042-6989, 11 p.Article

Automatic extraction of the structure of the retinal blood vessel network of premature infantsSUKKAEW, Lassada; UYYANONVARA, Bunyarit; BARMAN, Sarah et al.Chot Mai Het Thang Phaet. 2007, Vol 90, Num 9, pp 1780-1792, issn 0125-2208, 13 p.Article

An approach to localize the retinal blood vessels using bit planes and centerline detectionFRAZ, M. M; BARMAN, S. A; REMAGNINO, P et al.Computer methods and programs in biomedicine (Print). 2012, Vol 108, Num 2, pp 600-616, issn 0169-2607, 17 p.Article

Influence of interocular differences in the Strehl ratio on binocular summationCASTRO, José J; JIMENEZ, José R; HITA, Enrique et al.Ophthalmic & physiological optics. 2009, Vol 29, Num 3, pp 370-374, issn 0275-5408, 5 p.Article

Chromatic and wavefront aberrations: L-, M- and S-cone stimulation with typical and extreme retinal image qualityAUTRUSSEAU, Florent; THIBOS, Larry; SHEVELL, Steven K et al.Vision research (Oxford). 2011, Vol 51, Num 21-22, pp 2282-2294, issn 0042-6989, 13 p.Article

Imaging single cells in the living retinaWILLIAMS, David R.Vision research (Oxford). 2011, Vol 51, Num 13, pp 1379-1396, issn 0042-6989, 18 p.Article

Retinal image quality, reading and myopiaCOLLINS, Michael J; BUEHREN, Tobias; ISKANDER, D. Robert et al.Vision research (Oxford). 2006, Vol 46, Num 1-2, pp 196-215, issn 0042-6989, 20 p.Article

Visual acuity with reversed-contrast charts: I. Theoretical and psychophysical investigationsWESTHEIMER, Gerald.Optometry and vision science. 2003, Vol 80, Num 11, pp 745-748, issn 1040-5488, 4 p.Article

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