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Journal Abstract Search

337 related items for PubMed ID: 32030667

  • 1. Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis.
    Muramatsu C.
    Adv Exp Med Biol; 2020; 1213():121-132. PubMed ID: 32030667
    [Abstract] [Full Text] [Related]

  • 2. 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
    [Abstract] [Full Text] [Related]

  • 3. Comparison of Fundus Biomicroscopy Examination of the Optic Nerve Head with and without Mydriasis.
    Colicchio D, Terenzi LAO, Rocha JAG, Sousa AKS, Almeida ED, Moreno PA, Leite MT, Paranhos A, Kanadani FN, Prata TS.
    Ophthalmic Res; 2020 Oct; 63(1):8-12. PubMed ID: 31454807
    [Abstract] [Full Text] [Related]

  • 4. Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
    Bajwa MN, Malik MI, Siddiqui SA, Dengel A, Shafait F, Neumeier W, Ahmed S.
    BMC Med Inform Decis Mak; 2019 Jul 17; 19(1):136. PubMed ID: 31315618
    [Abstract] [Full Text] [Related]

  • 5. 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 17; 197():105717. PubMed ID: 32957060
    [Abstract] [Full Text] [Related]

  • 6. Multiple defects in the retinal nerve fiber layer in glaucoma.
    Chihara E, Honda Y.
    Graefes Arch Clin Exp Ophthalmol; 1992 Dec 17; 230(3):201-5. PubMed ID: 1597281
    [Abstract] [Full Text] [Related]

  • 7. WGAN domain adaptation for the joint optic disc-and-cup segmentation in fundus images.
    Kadambi S, Wang Z, Xing E.
    Int J Comput Assist Radiol Surg; 2020 Jul 17; 15(7):1205-1213. PubMed ID: 32445127
    [Abstract] [Full Text] [Related]

  • 8. A novel lightweight deep learning approach for simultaneous optic cup and optic disc segmentation in glaucoma detection.
    Song Y, Zhang W, Zhang Y.
    Math Biosci Eng; 2024 Mar 04; 21(4):5092-5117. PubMed ID: 38872528
    [Abstract] [Full Text] [Related]

  • 9. Computer-aided diagnosis of glaucoma using fundus images: A review.
    Hagiwara Y, Koh JEW, Tan JH, Bhandary SV, Laude A, Ciaccio EJ, Tong L, Acharya UR.
    Comput Methods Programs Biomed; 2018 Oct 04; 165():1-12. PubMed ID: 30337064
    [Abstract] [Full Text] [Related]

  • 10. The Association Between Clinical Features Seen on Fundus Photographs and Glaucomatous Damage Detected on Visual Fields and Optical Coherence Tomography Scans.
    Alhadeff PA, De Moraes CG, Chen M, Raza AS, Ritch R, Hood DC.
    J Glaucoma; 2017 May 04; 26(5):498-504. PubMed ID: 28333890
    [Abstract] [Full Text] [Related]

  • 11. The region of interest localization for glaucoma analysis from retinal fundus image using deep learning.
    Mitra A, Banerjee PS, Roy S, Roy S, Setua SK.
    Comput Methods Programs Biomed; 2018 Oct 04; 165():25-35. PubMed ID: 30337079
    [Abstract] [Full Text] [Related]

  • 12. Multi-task deep learning for glaucoma detection from color fundus images.
    Pascal L, Perdomo OJ, Bost X, Huet B, Otálora S, Zuluaga MA.
    Sci Rep; 2022 Jul 20; 12(1):12361. PubMed ID: 35858986
    [Abstract] [Full Text] [Related]

  • 13. Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network.
    Liu B, Pan D, Song H.
    BMC Med Imaging; 2021 Jan 28; 21(1):14. PubMed ID: 33509106
    [Abstract] [Full Text] [Related]

  • 14. Screening for glaucoma in a medical clinic with photographs of the nerve fiber layer.
    Wang F, Quigley HA, Tielsch JM.
    Arch Ophthalmol; 1994 Jun 28; 112(6):796-800. PubMed ID: 8002839
    [Abstract] [Full Text] [Related]

  • 15. Nerve fiber layer defects with normal visual fields. Do normal optic disc and normal visual field indicate absence of glaucomatous abnormality?
    Tuulonen A, Lehtola J, Airaksinen PJ.
    Ophthalmology; 1993 May 28; 100(5):587-97; discussion 597-8. PubMed ID: 8493001
    [Abstract] [Full Text] [Related]

  • 16. An evaluation of optic disc and nerve fiber layer examinations in monitoring progression of early glaucoma damage.
    Quigley HA, Katz J, Derick RJ, Gilbert D, Sommer A.
    Ophthalmology; 1992 Jan 28; 99(1):19-28. PubMed ID: 1741133
    [Abstract] [Full Text] [Related]

  • 17. Optic nerve head appearance in juvenile-onset chronic high-pressure glaucoma and normal-pressure glaucoma.
    Jonas JB, Budde WM.
    Ophthalmology; 2000 Apr 28; 107(4):704-11. PubMed ID: 10768332
    [Abstract] [Full Text] [Related]

  • 18. Joint optic disc and cup segmentation using semi-supervised conditional GANs.
    Liu S, Hong J, Lu X, Jia X, Lin Z, Zhou Y, Liu Y, Zhang H.
    Comput Biol Med; 2019 Dec 28; 115():103485. PubMed ID: 31630029
    [Abstract] [Full Text] [Related]

  • 19. 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 28; 16(9):096009. PubMed ID: 21950923
    [Abstract] [Full Text] [Related]

  • 20. 3-LbNets: Tri-Labeling Deep Convolutional Neural Network for the Automated Screening of Glaucoma, Glaucoma Suspect, and No Glaucoma in Fundus Images.
    Puangarom S, Twinvitoo A, Sangchocanonta S, Munthuli A, Phienphanich P, Itthipanichpong R, Ratanawongphaibul K, Chansangpetch S, Manassakorn A, Tantisevi V, Rojanapongpun P, Tantibundhit C.
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul 28; 2023():1-5. PubMed ID: 38083236
    [Abstract] [Full Text] [Related]

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