Automated detection of proliferative retinopathy in clinical practice

References

• AntoineJPCarettePMurenziR1993Image analysis with two-dimensional wavelet transformSignal Processing3124172
   Web of Science ®Google Scholar
• AntonettiDABarberAJBronsonSK2006Diabetic retinopathy: seeing beyond glucose-induced microvascular diseaseDiabetes5524011116936187
   PubMed Web of Science ®Google Scholar
• AvakianAKalinaRESageEH2002Fractal analysis of region-based vascular change in the normal and non-proliferative diabetic retinaCurr Eye Res242748012324866
   PubMed Web of Science ®Google Scholar
• BDA1994Retinal photography screening for diabetic eye diseaseLondonBritish Diabetic Association
   Google Scholar
• BekTErlandsenM2006Visual prognosis after panretinal photocoagulation for proliferative diabetic retinopathyActa Ophthalmol Scand84162016445434
   PubMedGoogle Scholar
• BernardFBossuJLGaillardS2001Identification of living oligodendrocyte developmental stages by fractal analysis of cell morphologyJ Neurosci Res654394511536328
   PubMed Web of Science ®Google Scholar
• BittnerHRSernetzMWlczekP1988Bildanalyse und Bildsynthese natürlicher fraktaler StrukturenCAD-CAM Report73845
   Google Scholar
• CesarMJrJelinekHFSuriJSLaxminarayanS2003Segmentation of retinal fundus vasculature in nonmydriatic camera images using waveletsAngiography and plaque imagingLondonCRC Pressp193224
   Google Scholar
• ConlinPRFischBMCavalleranoAA2006aNonmydriatic teleretinal imaging improves adherence to annual eye examinations in patients with diabetesJ Rehabil Res Dev4373340
   PubMed Web of Science ®Google Scholar
• ConlinPRFischBMOrcuttJC2006bFramework for a national teleretinal imaging program to screen for diabetic retinopathy in Veterans Health Administration patientsJ Rehabil Res Dev437418
   PubMed Web of Science ®Google Scholar
• CornforthDJelinekHFLeandroJJG2005Evolution of retinal blood vessel segmentation using wavelet transform in assessment of diabetic retinopathyComplexity International11 http://www.complexity.org.au/ci/vol11/
   Google Scholar
• CornforthDJelinekHFPeichlL2002Fractop: a tool for automated biological image classification6th AI Australasia-Japan Joint Workshop. Australian National UniversityCanberra1418
   Google Scholar
• CostaLFCesarRMJr2001Shape analysis and classification: theory and practiceCRC Press
   Google Scholar
• CreeMJJelinekHFCornforthD2005aVessel segmentation and tracking using a 2-dimensional model. IVCNZ 05OtagoNew Zealand
   Google Scholar
• CreeMJLeandroJJGSoaresJVBCollaM2005bComparison of various methods to delineate blood vessels in retinal imagesProceedings of the 16th Australian Institute of Physics CongressCanberra14
   Google Scholar
• DaxerA1992Fractals and retinal vesselsLancet3396181347118
   PubMed Web of Science ®Google Scholar
• DaxerA1993aCharacterisation of the neovascularisation process in diabetic retinopathy by means of fractal geometry: diagnostic implicationsGraefes Arch Clin Exp Ophthalmol23168168299974
   PubMed Web of Science ®Google Scholar
• DaxerA1993bThe fractal geometry of proliferative diabetic retinopathy: implications for the diagnosis and the process of retinal vasculogenesisCurr Eye Res12110398137633
   PubMed Web of Science ®Google Scholar
• De La CruzJPGonzalez-CorreaJAGuerreroA2004Pharmacological approach to diabetic retinopathyDiabetes Metab Res Rev209111315037985
   PubMed Web of Science ®Google Scholar
• DoftBHBlankenshipG1984Retinopathy risk factor regression after laser panretinal photocoagulation for proliferative diabetic retinopathyOphthalmol9114537
   PubMed Web of Science ®Google Scholar
• DollingerJWRMNonnenmacherTF1998Bi-asymptotic fractals: Fractals between lower and upper boundsJ Phys A: Math Gen31383947
   Google Scholar
• EnglmeierK-H1997Image processing within OPHTHEL [online]Accessed 5.11.2003 URL: http://sungria.gsf.de/OPHTEL/ima_proc/ophtel_img_proc.html
   Google Scholar
• ETDRS1991Grading diabetic retinopathy from steroscopic color fundus photographs – an extension of the modified Airlie house classification. Early treatment diabetic retinopathy study research groupOphthalmol98786806
   Web of Science ®Google Scholar
• FamilyFMastersBRPlattDE1989Fractal pattern formation in human retinal vesselsPhysica D3898103
   Web of Science ®Google Scholar
• FederJ1988FractalsNew YorkPlenum Press
   Google Scholar
• FeltrinGPMacchiVSacccaviniC2001Fractal analysis of lumbar vertebral cancellous bone architectureClin Anat144141711754235
   PubMed Web of Science ®Google Scholar
• FernandezEJelinekHF2001Use of fractal theory in neuroscience: methods, advantages, and potential problemsMethods243092111465996
   PubMed Web of Science ®Google Scholar
• FerrisFL3rd1993How effective are treatments for diabetic retinopathy?JAMA269129018437309
   PubMed Web of Science ®Google Scholar
• FrameAJUndrillPECreeMJ1998A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiogramsComp Biol Med2822538
   PubMed Web of Science ®Google Scholar
• GaoXWBharathAStantonA2000Quantification and characterisation of arteries in retinal imagesComp Meth Prog Biomed6313346
   Web of Science ®Google Scholar
• GitterJACzernieckiMJ1995Fractal analysis of the electromyographic interference patternJ Neurosci Meth581038
   PubMed Web of Science ®Google Scholar
• GoldbergerALAmaralLANHausdorffJM2002Fractal dynamics in physiology: Alterations with disease and agingPNAS9924667211875196
   PubMed Web of Science ®Google Scholar
• GrassbergerPPI1983Measuring the strangeness of strange attractorsPhysica9D189208
   Google Scholar
• HooverAKouznetsovaVGoldbaumM2000Locating blood vessels in retinal images by piecewise threshold probing of a matched filter responseIEEE Trans Med Imaging192031010875704
   PubMed Web of Science ®Google Scholar
• HutchinsonAMcIntoshAPetersJ2000Effectiveness of screening and monitoring tests for diabetic retinopathy – a systematic reviewDiabet Med1749550610972578
   PubMed Web of Science ®Google Scholar
• IannacconePMKhokhaM1995Fractal geometry in biological systems: an analytical approachBoca RatonCRC Press
   Google Scholar
• IcksATrautnerCHaastertB1997Blindness due to diabetes: population-based age- and sex-specific incidence ratesDiab Medicine145715
   Web of Science ®Google Scholar
• JelinekHFLeandroJJGCesarJLovelBCMaederAJ2005Classification of pathology in diabetes eye diseaseProceedings of the WDIC 2005 Workshop on Digital Image ComputingBrisbane913
   Google Scholar
• JiangXMojonD2003Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal imagesIEEE Trans Pattern Anal Mach Intell251317
   Web of Science ®Google Scholar
• KanskiJ1989Clinical ophthalmology: a systematic approachLondonButterworth-Heinemann
   Google Scholar
• KarperienA2007FracLac for ImageJ version 2.5a [computer program]Bethesda, MarylandResearch Services Branch, National Institutes of Health Morphological digital image analysis software for fractal, multifractal, lacunarity, and other morphometrics. URL: http://rsb.info.nih.gov/ij/plugins/fraclac/FLHelp/Introduction.htm
   Google Scholar
• KirbasCQuekF2004A review of vessel extraction techniques and algorithmsACM Comput Surv3281121
   Web of Science ®Google Scholar
• KradyJKBasuAAllenCM2005Minocycline reduces proinflammatory cytokine expression, microglial activation, and caspase-3 activation in a rodent model of diabetic retinopathyDiabetes5415596515855346
   PubMed Web of Science ®Google Scholar
• LandiniGIannacconePMKhokhaM1996Applications of fractal geometry in pathologyFractal geometry in biological systemsAmsterdamCRC Press20545
   Google Scholar
• LandiniGMissonGPMurrayPI1993Fractal analysis of the normal human retinal fluorescein angiogramCurr Eye Res122378436007
   PubMed Web of Science ®Google Scholar
• LandiniGMurrayPIMissonGP1995Local connected fractal dimension and lacunarity analysis of 60 degree fluorescein angiogramsInvest Ophthalmol Vis Sci362749557499097
   PubMed Web of Science ®Google Scholar
• LeandroJJGSoaresJVBCesarJ2003Blood vessel segmentation of non-mydriatic images using wavelets and statistical classifiers.Proceedings of the Brazilian Conference on Computer Graphics, Image Processing and Vision (Sibgrapi03)Sao Paulo, BrasilIEEE Computer Society Press2629
   Google Scholar
• LeeSJMcCartyCATaylorHR2001Costs of mobile screening for diabetic retinopathy: a practical framework for rural populationsAust J Rural Health91869211488703
   PubMedGoogle Scholar
• LiebovitchLSSullivanJM1987Fractal analysis of a voltage-dependent potassium channel from cultured mouse hippocampal neuronsBiophys J52979882447974
   PubMed Web of Science ®Google Scholar
• LosaGANonnenmacherTF1996Self-similarity and fractal irregularity in pathologic tissuesMod Pathol9174828685210
   PubMed Web of Science ®Google Scholar
• Lövestam-AdrianMAgardhE2000Photocoagulation of diabetic macular oedema – complications and visual outcomeActa Ophthalmol Scand786677111167229
   PubMedGoogle Scholar
• MaberleyDWalkerHKoushikA2003Screening for diabetic retinopathy in James Bay, Ontario: a cost-effectiveness analysisCMAJ168160412538543
   PubMed Web of Science ®Google Scholar
• MainsterMA1990The fractal properties of retinal vessels: embryological and clinical perspectivesEye4235412323476
   PubMed Web of Science ®Google Scholar
• MandelbrotBBNonnenmacherTFLosaGAWeibelER1993Fractals, lacunarity and how it can be tuned and measuredFractals in biology and medicineBostonBirkhäuser Verlag218
   Google Scholar
• MastersBR1989Fractal analysis of human retinal vesselsSPIE Proc13572506
   Google Scholar
• MastersBR2004Fractal analysis of the vascular tree in the human retinaAnnual Rev Biomed Eng64275215255776
   PubMed Web of Science ®Google Scholar
• McGinleyPSmithRGLandryJC1994Fractal dimensions of mycosis fungoidesFractals2493501
   Web of Science ®Google Scholar
• McGlynnEAAschSMAdamsJ2003The quality of health care delivered to adults in the United StatesN Engl J Med34826354512826639
   PubMed Web of Science ®Google Scholar
• MukamelDBBresnickGHWangQ1999Barriers to compliance with screening guidelines for diabetic retinopathyOphthalmic Epidemiol6617210384685
   PubMedGoogle Scholar
• NainDYezziATurkG2004Vessel segmentation using a shape driven flow. medical image computing and computer-assisted interventionMICCAI519
   Google Scholar
• NaschitzJERosnerIRozenbaumM2004Patterns of cardiovascular reactivity in disease diagnosisQJM971415114976271
   PubMed Web of Science ®Google Scholar
• NeubauerASWelge-LussenUCThielMJ2003Tele-screening for diabetic retinopathy with the retinal thickness analyzerDiabetes Care262890714514597
   PubMed Web of Science ®Google Scholar
• NHMRC1997aManagement of diabetic retinopathy: a guide for general practitionersCANBERRA: NHMRC
   Google Scholar
• NHMRC1997bNational Health and Medical Research Council. Management of diabetic retinopathy clinical practice guidelinesCanberraAustralian Government Publishing Service
   Google Scholar
• NHMRC2001National Health and Medical Research Council. National evidence based guidelines for the management of type 2 diabetes mellitusSydneyAustralian Centre for Diabetes Strategies
   Google Scholar
• OlsonJASharpPFGoatmanKA2006The role of automated grading of diabetic retinopathy in a primary care screening programmeEdinburghChief Scientist Office
   Google Scholar
• OlsonJAWhitelawCMMcHardyKC1997Soluble leucocyte adhesion molecules in diabetic retinopathy stimulate retinal capillary endothelial cell migrationDiabetologia401166719349597
   PubMed Web of Science ®Google Scholar
• OsborneNNCassonRJWoodJPM2004Retinal ischemia: mechanisms of damage and potential therapeutic strategiesProg Retin Eye Res239114714766318
   PubMed Web of Science ®Google Scholar
• PazSHVarmaRKleinR2006Noncompliance with vision care guidelines in Latinos with type 2 diabetes mellitus: the Los Angeles Latino Eye StudyOphthalmol11313727
   PubMed Web of Science ®Google Scholar
• PeitgenH-OJürgensHSaupeD1992Fractals for the classroomBerlinSpringer-Verlag
   Google Scholar
• RasbandWS1997–2007ImageJ version 1.39d [computer program]Bethesda, MarylandU. S. National Institutes of Health URL: http://rsb.info.nih.gov/ij/
   Google Scholar
• RichardsonLFWrightQLienauCC1960The problem of contiguity: an appendix to statistics of deadly quarrelsStatistics of Deadly QuarrelsPittsburghBoxwood Press13987
   Google Scholar
• SmithTGMarksWBLangeGD1989A fractal analysis of cell imagesJ Neurosci Meth2717380
   PubMed Web of Science ®Google Scholar
• SoaresJVBLeandroJJGCesar-JrRM2006Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classificationIEEE Trans Med Imaging2512142216967806
   PubMed Web of Science ®Google Scholar
• StaalJAbramoffMDNiemeijerM2004Ridge-based vessel segmentation in color images of the retinaIEEE Trans Med Imaging234501915084075
   PubMed Web of Science ®Google Scholar
• TaylorCRMerinLMSalungaAM2007Improving diabetic retinopathy screening ratios using telemedicine-based digital retinal imaging technology: the Vine Hill studyDiabetes Care30574817327323
   PubMed Web of Science ®Google Scholar
• TaylorHRKeeffeJE2001World blindness: a 21st century perspectiveBr J Ophthalmol85261611222327
   PubMed Web of Science ®Google Scholar
• TheodoridisS1999Pattern RecognitionBaltimoreAcademic Press
   Google Scholar
• VicsekMVicsekT1997Aggregation models of fractal growthCWI Quarterly1015378
   Google Scholar
• VossRFWyattJCYCrillyAJEarnshawRAJonesH1991Multifractals and local connected fractal dimension: Classification of early chinese landscape paintingsApplications of fractals and chaosBerlinSpringer-Verlag
   Google Scholar
• YamJCKwokAK2007Update on the treatment of diabetic retinopathyHong Kong Med J13466017277392
   PubMedGoogle Scholar
• ZanaFKleinJ-C2000Segmentation of vessel-like patterns using mathematical morphology and curvature evaluationIEEE Trans Image Process10101019
   Web of Science ®Google Scholar