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 *

124 related articles for article (PubMed ID: 19163946)

  • 1. Retina lesion and microaneurysm segmentation using morphological reconstruction methods with ground-truth data.
    Karnowski TP; Govindasamy V; Tobin KW; Chaum E; Abramoff MD
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5433-6. PubMed ID: 19163946
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Microaneurysm detection with radon transform-based classification on retina images.
    Giancardo L; Meriaudeau F; Karnowski TP; Li Y; Tobin KW; Chaum E
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5939-42. PubMed ID: 22255692
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of the grading performance of an ensemble-based microaneurysm detector.
    Antal B; Lázár I; Hajdu A; Török Z; Csutak A; Peto T
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5943-6. PubMed ID: 22255693
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection of lesions in retina photographs based on the wavelet transform.
    Quellec G; Lamard M; Josselin PM; Cazuguel G; Cochener B; Roux C
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2618-21. PubMed ID: 17945729
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An ensemble-based system for microaneurysm detection and diabetic retinopathy grading.
    Antal B; Hajdu A
    IEEE Trans Biomed Eng; 2012 Jun; 59(6):1720-6. PubMed ID: 22481810
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Algorithms for digital image processing in diabetic retinopathy.
    Winder RJ; Morrow PJ; McRitchie IN; Bailie JR; Hart PM
    Comput Med Imaging Graph; 2009 Dec; 33(8):608-22. PubMed ID: 19616920
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimal wavelet transform for the detection of microaneurysms in retina photographs.
    Quellec G; Lamard M; Josselin PM; Cazuguel G; Cochener B; Roux C
    IEEE Trans Med Imaging; 2008 Sep; 27(9):1230-41. PubMed ID: 18779064
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images.
    Köse C; Sevik U; Ikibaş C; Erdöl H
    Comput Methods Programs Biomed; 2012 Aug; 107(2):274-93. PubMed ID: 21757250
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic detection of red lesions in retinal images using a multilayer perceptron neural network.
    García M; Sánchez CI; López MI; Díez A; Hornero R
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5425-8. PubMed ID: 19163944
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic detection of retina disease: robustness to image quality and localization of anatomy structure.
    Karnowski TP; Aykac D; Giancardo L; Li Y; Nichols T; Tobin KW; Chaum E
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5959-64. PubMed ID: 22255697
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An improved gradient vector flow algorithm for optic disc segmentation.
    Zhou H; Schaefer G; Liu T; Lin F
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4793-6. PubMed ID: 21097291
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A method to assist in the diagnosis of early diabetic retinopathy: Image processing applied to detection of microaneurysms in fundus images.
    Rosas-Romero R; Martínez-Carballido J; Hernández-Capistrán J; Uribe-Valencia LJ
    Comput Med Imaging Graph; 2015 Sep; 44():41-53. PubMed ID: 26245720
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Vessel network detection using contour evolution and color components.
    Ushizima DM; Medeiros FN; Cuadros J; Martins CI
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3129-32. PubMed ID: 21095748
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning and pattern classification in identification of indigenous retinal pathology.
    Jelinek HF; Rocha A; Carvalho T; Goldenstein S; Wainer J
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5951-4. PubMed ID: 22255695
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improvement of automated detection method of hemorrhages in fundus images.
    Hatanaka Y; Nakagawa T; Hayashi Y; Hara T; Fujita H
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5429-32. PubMed ID: 19163945
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Contextual detection of diabetic pathology in wide-field retinal angiograms.
    Buchanan CR; Trucco E
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5437-40. PubMed ID: 19163947
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Patch-based automatic retinal vessel segmentation in global and local structural context.
    Cao S; Bharath AA; Parker KH; Ng J
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4942-5. PubMed ID: 23367036
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Exudate-based diabetic macular edema detection in fundus images using publicly available datasets.
    Giancardo L; Meriaudeau F; Karnowski TP; Li Y; Garg S; Tobin KW; Chaum E
    Med Image Anal; 2012 Jan; 16(1):216-26. PubMed ID: 21865074
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Crossing-preserving multi-scale vesselness.
    Hannink J; Duits R; Bekkers E
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):603-10. PubMed ID: 25485429
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detection of hard exudates in retinal images using a radial basis function classifier.
    García M; Sánchez CI; Poza J; López MI; Hornero R
    Ann Biomed Eng; 2009 Jul; 37(7):1448-63. PubMed ID: 19430906
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.