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 *

115 related articles for article (PubMed ID: 23366170)

  • 1. Measurement of retinal arteriolar diameters from auto scale phase congruency with fuzzy weighting and L1 regularization.
    Nasehi Tehrani J; Yan H; Zhu M; Jin C; McEwan AL
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1434-7. PubMed ID: 23366170
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Computer algorithms for the automated measurement of retinal arteriolar diameters.
    Chapman N; Witt N; Gao X; Bharath AA; Stanton AV; Thom SA; Hughes AD
    Br J Ophthalmol; 2001 Jan; 85(1):74-9. PubMed ID: 11133716
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Parallel multiscale feature extraction and region growing: application in retinal blood vessel detection.
    Palomera-Pérez MA; Martinez-Perez ME; Benítez-Pérez H; Ortega-Arjona JL
    IEEE Trans Inf Technol Biomed; 2010 Mar; 14(2):500-6. PubMed ID: 20007040
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel method for retinal vessel tracking using particle filters.
    Nayebifar B; Abrishami Moghaddam H
    Comput Biol Med; 2013 Jun; 43(5):541-8. PubMed ID: 23434235
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Segmentation of the blood vessels and optic disk in retinal images.
    Salazar-Gonzalez A; Kaba D; Li Y; Liu X
    IEEE J Biomed Health Inform; 2014 Nov; 18(6):1874-86. PubMed ID: 25265617
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of super-resolution algorithms applied to retinal images.
    Thapa D; Raahemifar K; Bobier WR; Lakshminarayanan V
    J Biomed Opt; 2014 May; 19(5):056002. PubMed ID: 24788371
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust methodology for fractal analysis of the retinal vasculature.
    Azemin MZ; Kumar DK; Wong TY; Kawasaki R; Mitchell P; Wang JJ
    IEEE Trans Med Imaging; 2011 Feb; 30(2):243-50. PubMed ID: 20851791
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Variation associated with measurement of retinal vessel diameters at different points in the pulse cycle.
    Knudtson MD; Klein BE; Klein R; Wong TY; Hubbard LD; Lee KE; Meuer SM; Bulla CP
    Br J Ophthalmol; 2004 Jan; 88(1):57-61. PubMed ID: 14693774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function.
    He Y; Zheng Y; Zhao Y; Ren Y; Lian J; Gee J
    Comput Math Methods Med; 2017; 2017():1769834. PubMed ID: 28261320
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Retinal vessel segmentation using a multi-scale medialness function.
    Moghimirad E; Hamid Rezatofighi S; Soltanian-Zadeh H
    Comput Biol Med; 2012 Jan; 42(1):50-60. PubMed ID: 22099700
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmentation of vessels in retinal images based on directional height statistics.
    Lazar I; Hajdu A
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1458-61. PubMed ID: 23366176
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated layer segmentation of optical coherence tomography images.
    Lu S; Cheung CY; Liu J; Lim JH; Leung CK; Wong TY
    IEEE Trans Biomed Eng; 2010 Oct; 57(10):2605-8. PubMed ID: 20595078
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [New Approach of Fundus Image Segmentation Evaluation Based on Topology Structure].
    Sheng H; Dai P; Liu Z; Zhang-Wen M; Zhao Y; Fan M
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2015 Oct; 32(5):1100-5. PubMed ID: 26964319
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Retinal image analysis using curvelet transform and multistructure elements morphology by reconstruction.
    Miri MS; Mahloojifar A
    IEEE Trans Biomed Eng; 2011 May; 58(5):1183-92. PubMed ID: 21147592
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An active contour model for segmenting and measuring retinal vessels.
    Al-Diri B; Hunter A; Steel D
    IEEE Trans Med Imaging; 2009 Sep; 28(9):1488-97. PubMed ID: 19336294
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation.
    Annunziata R; Garzelli A; Ballerini L; Mecocci A; Trucco E
    IEEE J Biomed Health Inform; 2016 Jul; 20(4):1129-38. PubMed ID: 26054078
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Retinal imaging analysis based on vessel detection.
    Jamal A; Hazim Alkawaz M; Rehman A; Saba T
    Microsc Res Tech; 2017 Jul; 80(7):799-811. PubMed ID: 28294460
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A semi-automated computer tool for the analysis of retinal vessel diameter dynamics.
    Euvrard G; Genevois O; Rivals I; Massin P; Collet A; Sahel JA; Paques M
    Comput Biol Med; 2013 Jun; 43(5):513-23. PubMed ID: 23566397
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Blood vessel segmentation in color fundus images based on regional and Hessian features.
    Shah SAA; Tang TB; Faye I; Laude A
    Graefes Arch Clin Exp Ophthalmol; 2017 Aug; 255(8):1525-1533. PubMed ID: 28474130
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Direct measurement of retinal vessel diameter: comparison with microdensitometric methods based on fundus photographs.
    Suzuki Y
    Surv Ophthalmol; 1995 May; 39 Suppl 1():S57-65. PubMed ID: 7660313
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.