These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

66 related articles for article (PubMed ID: 12553282)

  • 1. [A robust method for automated detection and grading of retinal venous beading in diabetes mellitus].
    Xu L; Zhang H; Yu Y; Zheng X
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 1999 Mar; 16(1):77-80. PubMed ID: 12553282
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated detection and quantification of venous beading using Fourier analysis.
    Kozousek V; Shen Z; Gregson P; Scott RC
    Can J Ophthalmol; 1992 Oct; 27(6):288-94. PubMed ID: 1451016
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Retinal vascular caliber, diabetes, and retinopathy.
    Kifley A; Wang JJ; Cugati S; Wong TY; Mitchell P
    Am J Ophthalmol; 2007 Jun; 143(6):1024-6. PubMed ID: 17524767
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Web-based grading of compressed stereoscopic digital photography versus standard slide film photography for the diagnosis of diabetic retinopathy.
    Rudnisky CJ; Tennant MT; Weis E; Ting A; Hinz BJ; Greve MD
    Ophthalmology; 2007 Sep; 114(9):1748-54. PubMed ID: 17368543
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative retinal venular caliber and risk of cardiovascular disease in older persons: the cardiovascular health study.
    Wong TY; Kamineni A; Klein R; Sharrett AR; Klein BE; Siscovick DS; Cushman M; Duncan BB
    Arch Intern Med; 2006 Nov; 166(21):2388-94. PubMed ID: 17130394
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated grading of venous beading.
    Gregson PH; Shen Z; Scott RC; Kozousek V
    Comput Biomed Res; 1995 Aug; 28(4):291-304. PubMed ID: 8549121
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated assessment of diabetic retinal image quality based on clarity and field definition.
    Fleming AD; Philip S; Goatman KA; Olson JA; Sharp PF
    Invest Ophthalmol Vis Sci; 2006 Mar; 47(3):1120-5. PubMed ID: 16505050
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quantitative analysis of retinopathy in type 2 diabetes: identification of prognostic parameters for developing visual loss secondary to diabetic maculopathy.
    Hove MN; Kristensen JK; Lauritzen T; Bek T
    Acta Ophthalmol Scand; 2004 Dec; 82(6):679-85. PubMed ID: 15606463
    [TBL] [Abstract][Full Text] [Related]  

  • 9. TOSCA-Imaging--developing Internet based image processing software for screening and diagnosis of diabetic retinopathy.
    Hejlesen O; Ege B; Englmeier KH; Aldington S; McCanna L; Bek T
    Stud Health Technol Inform; 2004; 107(Pt 1):222-6. PubMed ID: 15360807
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effect of mydriasis and different field strategies on digital image screening of diabetic eye disease.
    Murgatroyd H; Ellingford A; Cox A; Binnie M; Ellis JD; MacEwen CJ; Leese GP
    Br J Ophthalmol; 2004 Jul; 88(7):920-4. PubMed ID: 15205238
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semiautomated analysis of retinal vessel diameter in retinopathy of prematurity patients with and without plus disease.
    Johnson KS; Mills MD; Karp KA; Grunwald JE
    Am J Ophthalmol; 2007 Apr; 143(4):723-5. PubMed ID: 17386296
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Early detection of diabetes retinopathy by new algorithms for automatic recognition of vascular changes.
    Englmeier KH; Schmid K; Hildebrand C; Bichler S; Porta M; Maurino M; Bek T
    Eur J Med Res; 2004 Oct; 9(10):473-8. PubMed ID: 15546814
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of a computer-based system for plus disease diagnosis in retinopathy of prematurity.
    Koreen S; Gelman R; Martinez-Perez ME; Jiang L; Berrocal AM; Hess DJ; Flynn JT; Chiang MF
    Ophthalmology; 2007 Dec; 114(12):e59-67. PubMed ID: 18054630
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computer-assisted microaneurysm turnover in the early stages of diabetic retinopathy.
    Bernardes R; Nunes S; Pereira I; Torrent T; Rosa A; Coelho D; Cunha-Vaz J
    Ophthalmologica; 2009; 223(5):284-91. PubMed ID: 19372722
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [A robust method for automated retinal vascular images mosaic based on phase correlation method and mathematical morphology].
    Xu L; Zhang H; Yu Y; Zheng X; Yu F; Jiang J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 1998 Sep; 15(3):286-90. PubMed ID: 12553255
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diabetic retinopathy screening using digital non-mydriatic fundus photography and automated image analysis.
    Hansen AB; Hartvig NV; Jensen MS; Borch-Johnsen K; Lund-Andersen H; Larsen M
    Acta Ophthalmol Scand; 2004 Dec; 82(6):666-72. PubMed ID: 15606461
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diabetic retinopathy: the unmet needs for screening and a review of potential solutions.
    Sinclair SH
    Expert Rev Med Devices; 2006 May; 3(3):301-13. PubMed ID: 16681452
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessment of automated screening for treatment-requiring diabetic retinopathy.
    Larsen M; Gondolf T; Godt J; Jensen MS; Hartvig NV; Lund-Andersen H; Larsen N
    Curr Eye Res; 2007 Apr; 32(4):331-6. PubMed ID: 17453954
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Retinal vascular caliber and macular telangiectasia type 2.
    Tikellis G; Gillies MC; Guymer RH; McAllister IL; Shaw JE; Wong TY
    Ophthalmology; 2009 Feb; 116(2):319-23. PubMed ID: 19187824
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantitative analysis of retinal vessel diameter reduction after photocoagulation treatment for retinopathy of prematurity.
    Johnson KS; Mills MD; Karp KA; Grunwald JE
    Am J Ophthalmol; 2007 Jun; 143(6):1030-2. PubMed ID: 17524769
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.