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 *

451 related articles for article (PubMed ID: 23434609)

  • 1. Superpixel classification based optic disc and optic cup segmentation for glaucoma screening.
    Cheng J; Liu J; Xu Y; Yin F; Wong DW; Tan NM; Tao D; Cheng CY; Aung T; Wong TY
    IEEE Trans Med Imaging; 2013 Jun; 32(6):1019-32. PubMed ID: 23434609
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Superpixel classification based optic cup segmentation.
    Cheng J; Liu J; Tao D; Yin F; Wong DW; Xu Y; Wong TY
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):421-8. PubMed ID: 24505789
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Sparse dissimilarity-constrained coding for glaucoma screening.
    Cheng J; Yin F; Wong DW; Tao D; Liu J
    IEEE Trans Biomed Eng; 2015 May; 62(5):1395-403. PubMed ID: 25585408
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optic disk and cup segmentation from monocular color retinal images for glaucoma assessment.
    Joshi GD; Sivaswamy J; Krishnadas SR
    IEEE Trans Med Imaging; 2011 Jun; 30(6):1192-205. PubMed ID: 21536531
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images.
    Mvoulana A; Kachouri R; Akil M
    Comput Med Imaging Graph; 2019 Oct; 77():101643. PubMed ID: 31541937
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Glaucoma detection using novel optic disc localization, hybrid feature set and classification techniques.
    Akram MU; Tariq A; Khalid S; Javed MY; Abbas S; Yasin UU
    Australas Phys Eng Sci Med; 2015 Dec; 38(4):643-55. PubMed ID: 26399880
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images.
    Muramatsu C; Nakagawa T; Sawada A; Hatanaka Y; Yamamoto T; Fujita H
    J Biomed Opt; 2011 Sep; 16(9):096009. PubMed ID: 21950923
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Superpixel classification for initialization in model based optic disc segmentation.
    Cheng J; Liu J; Xu Y; Yin F; Wong DW; Lee BH; Cheung C; Aung T; Wong TY
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1450-3. PubMed ID: 23366174
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Direct Cup-to-Disc Ratio Estimation for Glaucoma Screening via Semi-Supervised Learning.
    Zhao R; Chen X; Liu X; Chen Z; Guo F; Li S
    IEEE J Biomed Health Inform; 2020 Apr; 24(4):1104-1113. PubMed ID: 31403451
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optic cup segmentation from fundus images for glaucoma diagnosis.
    Hu M; Zhu C; Li X; Xu Y
    Bioengineered; 2017 Jan; 8(1):21-28. PubMed ID: 27764542
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An adaptive threshold based image processing technique for improved glaucoma detection and classification.
    Issac A; Partha Sarathi M; Dutta MK
    Comput Methods Programs Biomed; 2015 Nov; 122(2):229-44. PubMed ID: 26321351
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated segmentation of optic disc region on retinal fundus photographs: Comparison of contour modeling and pixel classification methods.
    Muramatsu C; Nakagawa T; Sawada A; Hatanaka Y; Hara T; Yamamoto T; Fujita H
    Comput Methods Programs Biomed; 2011 Jan; 101(1):23-32. PubMed ID: 20546966
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening.
    Ghassabi Z; Shanbehzadeh J; Nouri-Mahdavi K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5942-5945. PubMed ID: 30441689
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated segmentation of optic disc in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal opening detection.
    Wu M; Leng T; de Sisternes L; Rubin DL; Chen Q
    Opt Express; 2015 Nov; 23(24):31216-29. PubMed ID: 26698750
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optic disc and optic cup segmentation based on anatomy guided cascade network.
    Bian X; Luo X; Wang C; Liu W; Lin X
    Comput Methods Programs Biomed; 2020 Dec; 197():105717. PubMed ID: 32957060
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Robust multi-scale superpixel classification for optic cup localization.
    Tan NM; Xu Y; Goh WB; Liu J
    Comput Med Imaging Graph; 2015 Mar; 40():182-93. PubMed ID: 25453464
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Glaucoma diagnostics.
    Geimer SA
    Acta Ophthalmol; 2013 Feb; 91 Thesis 1():1-32. PubMed ID: 23384049
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection.
    Jiang Y; Xia H; Xu Y; Cheng J; Fu H; Duan L; Meng Z; Liu J
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():862-865. PubMed ID: 30440527
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optic disc imaging with spectral-domain optical coherence tomography: variability and agreement study with Heidelberg retinal tomograph.
    Yang B; Ye C; Yu M; Liu S; Lam DS; Leung CK
    Ophthalmology; 2012 Sep; 119(9):1852-7. PubMed ID: 22572035
    [TBL] [Abstract][Full Text] [Related]  

  • 20. JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.
    Jiang Y; Duan L; Cheng J; Gu Z; Xia H; Fu H; Li C; Liu J
    IEEE Trans Biomed Eng; 2020 Feb; 67(2):335-343. PubMed ID: 31021760
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.