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 *

113 related articles for article (PubMed ID: 23366184)

  • 1. Computational methods for objective assessment of conjunctival vascularity.
    Derakhshani R; Saripalle SK; Doynov P
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1490-3. PubMed ID: 23366184
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal green (red-free) digital imaging of conjunctival vasculature.
    Owen CG; Ellis TJ; Rudnicka AR; Woodward EG
    Ophthalmic Physiol Opt; 2002 May; 22(3):234-43. PubMed ID: 12090638
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Evaluation of Semiautomated Quantification of Lissamine Green Staining of the Bulbar Conjunctiva From Digital Images.
    Bunya VY; Chen M; Zheng Y; Massaro-Giordano M; Gee J; Daniel E; O'Sullivan R; Smith E; Stone RA; Maguire MG
    JAMA Ophthalmol; 2017 Oct; 135(10):1078-1085. PubMed ID: 28910455
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of manual and automated methods of measuring conjunctival vessel widths from photographic and digital images.
    Owen CG; Ellis TJ; Woodward EG
    Ophthalmic Physiol Opt; 2004 Mar; 24(2):74-81. PubMed ID: 15005671
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Distribution of normal superficial ocular vessels in digital images.
    Banaee T; Ehsaei A; Pourreza H; Khajedaluee M; Abrishami M; Basiri M; Daneshvar Kakhki R; Pourreza R
    Cont Lens Anterior Eye; 2014 Feb; 37(1):11-5. PubMed ID: 23962767
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A new computer assisted objective method for quantifying vascular changes of the bulbar conjunctivae.
    Owen CG; Fitzke FW; Woodward EG
    Ophthalmic Physiol Opt; 1996 Sep; 16(5):430-7. PubMed ID: 8944187
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment.
    Kim MC; Okada K; Ryner AM; Amza A; Tadesse Z; Cotter SY; Gaynor BD; Keenan JD; Lietman TM; Porco TC
    PLoS One; 2019; 14(2):e0210463. PubMed ID: 30742639
    [TBL] [Abstract][Full Text] [Related]  

  • 8. High-accuracy measurement of rotational eye movement by tracking of blood vessel images.
    Hoshino K; Nakagomi H
    Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():6339-44. PubMed ID: 25571446
    [TBL] [Abstract][Full Text] [Related]  

  • 9. New clinical grading scales and objective measurement for conjunctival injection.
    Park IK; Chun YS; Kim KG; Yang HK; Hwang JM
    Invest Ophthalmol Vis Sci; 2013 Aug; 54(8):5249-57. PubMed ID: 23833063
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comments on the published article: "Distribution of normal superficial ocular vessels in digital images, Banaee et al. (2014)".
    Koutsiaris AG
    Cont Lens Anterior Eye; 2014 Aug; 37(4):320. PubMed ID: 24857968
    [No Abstract]   [Full Text] [Related]  

  • 11. Adaptable pattern recognition system for discriminating Melanocytic Nevi from Malignant Melanomas using plain photography images from different image databases.
    Kostopoulos SA; Asvestas PA; Kalatzis IK; Sakellaropoulos GC; Sakkis TH; Cavouras DA; Glotsos DT
    Int J Med Inform; 2017 Sep; 105():1-10. PubMed ID: 28750902
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comment on 'Distribution of normal superficial ocular vessels in digital images'.
    Banaee T
    Cont Lens Anterior Eye; 2014 Dec; 37(6):473. PubMed ID: 25439760
    [No Abstract]   [Full Text] [Related]  

  • 13. Analysis of microvascular network in bulbar conjunctiva by image processing.
    Chen PC; Kovalcheck SW; Zweifach BW
    Int J Microcirc Clin Exp; 1987 Aug; 6(3):245-55. PubMed ID: 3654069
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Examining palpebral conjunctiva for anemia assessment with image processing methods.
    Chen YM; Miaou SG; Bian H
    Comput Methods Programs Biomed; 2016 Dec; 137():125-135. PubMed ID: 28110719
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated Assessment of Hemodynamics in the Conjunctival Microvasculature Network.
    Khansari MM; Wanek J; Felder AE; Camardo N; Shahidi M
    IEEE Trans Med Imaging; 2016 Feb; 35(2):605-11. PubMed ID: 26452274
    [TBL] [Abstract][Full Text] [Related]  

  • 16. [Biomicroscopy of conjunctival vessels in the early diagnosis of cerebral arteriosclerosis].
    Drobinskiĭ AD; Palamarchuk GS
    Zh Nevropatol Psikhiatr Im S S Korsakova; 1967; 67(4):518-21. PubMed ID: 5596936
    [No Abstract]   [Full Text] [Related]  

  • 17. Longitudinal Changes in Bleb Height, Vascularity, and Conjunctival Microcysts After Trabeculectomy.
    Kumaran A; Husain R; Htoon HM; Aung T
    J Glaucoma; 2018 Jul; 27(7):578-584. PubMed ID: 29965890
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new scale for the assessment of conjunctival bulbar redness.
    Macchi I; Bunya VY; Massaro-Giordano M; Stone RA; Maguire MG; Zheng Y; Chen M; Gee J; Smith E; Daniel E
    Ocul Surf; 2018 Oct; 16(4):436-440. PubMed ID: 29883738
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Non-invasive determination of hemoglobin by digital photography of palpebral conjunctiva.
    Suner S; Crawford G; McMurdy J; Jay G
    J Emerg Med; 2007 Aug; 33(2):105-11. PubMed ID: 17692757
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Ensemble Learning Based Objective Grading of Macular Edema by Extracting Clinically Significant Findings from Fused Retinal Imaging Modalities.
    Hassan B; Hassan T; Li B; Ahmed R; Hassan O
    Sensors (Basel); 2019 Jul; 19(13):. PubMed ID: 31284442
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.