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 *

388 related articles for article (PubMed ID: 30911364)

  • 1. Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images.
    An G; Omodaka K; Hashimoto K; Tsuda S; Shiga Y; Takada N; Kikawa T; Yokota H; Akiba M; Nakazawa T
    J Healthc Eng; 2019; 2019():4061313. PubMed ID: 30911364
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of glaucoma-diagnostic ability between wide-field swept-source OCT retinal nerve fiber layer maps and spectral-domain OCT.
    Lee WJ; Oh S; Kim YK; Jeoung JW; Park KH
    Eye (Lond); 2018 Sep; 32(9):1483-1492. PubMed ID: 29789659
    [TBL] [Abstract][Full Text] [Related]  

  • 3. From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs.
    Medeiros FA; Jammal AA; Thompson AC
    Ophthalmology; 2019 Apr; 126(4):513-521. PubMed ID: 30578810
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ability of cirrus high-definition spectral-domain optical coherence tomography clock-hour, deviation, and thickness maps in detecting photographic retinal nerve fiber layer abnormalities.
    Hwang YH; Kim YY; Kim HK; Sohn YH
    Ophthalmology; 2013 Jul; 120(7):1380-7. PubMed ID: 23541761
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [Significance of optic disc topography and retinal nerve fiber layer thickness measurement by spectral-domain OCT in diagnosis of glaucoma].
    Wang XZ; Li SN; Wu GW; Mu DP; Wang NL
    Zhonghua Yan Ke Za Zhi; 2010 Aug; 46(8):702-8. PubMed ID: 21054994
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic Ability of Wide-field Retinal Nerve Fiber Layer Maps Using Swept-Source Optical Coherence Tomography for Detection of Preperimetric and Early Perimetric Glaucoma.
    Lee WJ; Na KI; Kim YK; Jeoung JW; Park KH
    J Glaucoma; 2017 Jun; 26(6):577-585. PubMed ID: 28368998
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans.
    Thompson AC; Jammal AA; Berchuck SI; Mariottoni EB; Medeiros FA
    JAMA Ophthalmol; 2020 Apr; 138(4):333-339. PubMed ID: 32053142
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Retinal nerve fiber layer and macular inner retina measurements by spectral domain optical coherence tomograph in Indian eyes with early glaucoma.
    Rao HL; Babu JG; Addepalli UK; Senthil S; Garudadri CS
    Eye (Lond); 2012 Jan; 26(1):133-9. PubMed ID: 22079964
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnosing Glaucoma With Spectral-Domain Optical Coherence Tomography Using Deep Learning Classifier.
    Lee J; Kim YK; Park KH; Jeoung JW
    J Glaucoma; 2020 Apr; 29(4):287-294. PubMed ID: 32053552
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.
    Asaoka R; Murata H; Hirasawa K; Fujino Y; Matsuura M; Miki A; Kanamoto T; Ikeda Y; Mori K; Iwase A; Shoji N; Inoue K; Yamagami J; Araie M
    Am J Ophthalmol; 2019 Feb; 198():136-145. PubMed ID: 30316669
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning.
    Medeiros FA; Jammal AA; Mariottoni EB
    Ophthalmology; 2021 Mar; 128(3):383-392. PubMed ID: 32735906
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Early Glaucoma Detection by Using Style Transfer to Predict Retinal Nerve Fiber Layer Thickness Distribution on the Fundus Photograph.
    Chen HS; Chen GA; Syu JY; Chuang LH; Su WW; Wu WC; Liu JH; Chen JR; Huang SC; Kang EY
    Ophthalmol Sci; 2022 Sep; 2(3):100180. PubMed ID: 36245759
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Agreement of retinal nerve fiber layer defect location between red-free fundus photography and cirrus HD-OCT maps.
    Hwang YH; Kim YY; Kim HK; Sohn YH
    Curr Eye Res; 2014 Nov; 39(11):1099-105. PubMed ID: 24749850
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Serial Combined Wide-Field Optical Coherence Tomography Maps for Detection of Early Glaucomatous Structural Progression.
    Lee WJ; Kim TJ; Kim YK; Jeoung JW; Park KH
    JAMA Ophthalmol; 2018 Oct; 136(10):1121-1127. PubMed ID: 30054615
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Three-dimensional imaging of the macular retinal nerve fiber layer in glaucoma with spectral-domain optical coherence tomography.
    Sakamoto A; Hangai M; Nukada M; Nakanishi H; Mori S; Kotera Y; Inoue R; Yoshimura N
    Invest Ophthalmol Vis Sci; 2010 Oct; 51(10):5062-70. PubMed ID: 20463326
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A feature agnostic approach for glaucoma detection in OCT volumes.
    Maetschke S; Antony B; Ishikawa H; Wollstein G; Schuman J; Garnavi R
    PLoS One; 2019; 14(7):e0219126. PubMed ID: 31260494
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Diagnostic ability of retinal nerve fiber layer imaging by swept-source optical coherence tomography in glaucoma.
    Yang Z; Tatham AJ; Zangwill LM; Weinreb RN; Zhang C; Medeiros FA
    Am J Ophthalmol; 2015 Jan; 159(1):193-201. PubMed ID: 25448991
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.
    Jammal AA; Thompson AC; Mariottoni EB; Berchuck SI; Urata CN; Estrela T; Wakil SM; Costa VP; Medeiros FA
    Am J Ophthalmol; 2020 Mar; 211():123-131. PubMed ID: 31730838
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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; 19(1):136. PubMed ID: 31315618
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression.
    Christopher M; Belghith A; Weinreb RN; Bowd C; Goldbaum MH; Saunders LJ; Medeiros FA; Zangwill LM
    Invest Ophthalmol Vis Sci; 2018 Jun; 59(7):2748-2756. PubMed ID: 29860461
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.