283 related articles for article (PubMed ID: 26580479)
1. Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus Photographs.
Chakrabarty L; Joshi GD; Chakravarty A; Raman GV; Krishnadas SR; Sivaswamy J
J Glaucoma; 2016 Jul; 25(7):590-7. PubMed ID: 26580479
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs.
Li F; Yan L; Wang Y; Shi J; Chen H; Zhang X; Jiang M; Wu Z; Zhou K
Graefes Arch Clin Exp Ophthalmol; 2020 Apr; 258(4):851-867. PubMed ID: 31989285
[TBL] [Abstract][Full Text] [Related]
3. Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.
Al-Aswad LA; Kapoor R; Chu CK; Walters S; Gong D; Garg A; Gopal K; Patel V; Sameer T; Rogers TW; Nicolas J; De Moraes GC; Moazami G
J Glaucoma; 2019 Dec; 28(12):1029-1034. PubMed ID: 31233461
[TBL] [Abstract][Full Text] [Related]
4. Digital versus film stereo-photography for assessment of the optic nerve head in glaucoma and glaucoma suspect patients.
Hasanreisoglu M; Priel E; Naveh L; Lusky M; Weinberger D; Benjamini Y; Gaton DD
J Glaucoma; 2013 Mar; 22(3):238-42. PubMed ID: 21946551
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of Nonmydriatic Hand-held Optic Disc Photography Grading in the Philadelphia Glaucoma Detection and Treatment Project.
Waisbourd M; Bond EA; Sullivan T; Hu WD; Shah SB; Molineaux J; Sembhi H; Spaeth GL; Myers JS; Hark LA; Katz LJ
J Glaucoma; 2016 May; 25(5):e520-5. PubMed ID: 26900823
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.
Phene S; Dunn RC; Hammel N; Liu Y; Krause J; Kitade N; Schaekermann M; Sayres R; Wu DJ; Bora A; Semturs C; Misra A; Huang AE; Spitze A; Medeiros FA; Maa AY; Gandhi M; Corrado GS; Peng L; Webster DR
Ophthalmology; 2019 Dec; 126(12):1627-1639. PubMed ID: 31561879
[TBL] [Abstract][Full Text] [Related]
7. Glaucoma follow-up by the Heidelberg retina tomograph--new graphical analysis of optic disc topography changes.
Kalaboukhova L; Fridhammar V; Lindblom B
Graefes Arch Clin Exp Ophthalmol; 2006 Jun; 244(6):654-62. PubMed ID: 16220279
[TBL] [Abstract][Full Text] [Related]
8. Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.
Liu H; Li L; Wormstone IM; Qiao C; Zhang C; Liu P; Li S; Wang H; Mou D; Pang R; Yang D; Zangwill LM; Moghimi S; Hou H; Bowd C; Jiang L; Chen Y; Hu M; Xu Y; Kang H; Ji X; Chang R; Tham C; Cheung C; Ting DSW; Wong TY; Wang Z; Weinreb RN; Xu M; Wang N
JAMA Ophthalmol; 2019 Dec; 137(12):1353-1360. PubMed ID: 31513266
[TBL] [Abstract][Full Text] [Related]
9. Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.
Li Z; He Y; Keel S; Meng W; Chang RT; He M
Ophthalmology; 2018 Aug; 125(8):1199-1206. PubMed ID: 29506863
[TBL] [Abstract][Full Text] [Related]
10. Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features.
AbrĂ moff MD; Alward WL; Greenlee EC; Shuba L; Kim CY; Fingert JH; Kwon YH
Invest Ophthalmol Vis Sci; 2007 Apr; 48(4):1665-73. PubMed ID: 17389498
[TBL] [Abstract][Full Text] [Related]
11. Comparison of quantitative imaging devices and subjective optic nerve head assessment by general ophthalmologists to differentiate normal from glaucomatous eyes.
Vessani RM; Moritz R; Batis L; Zagui RB; Bernardoni S; Susanna R
J Glaucoma; 2009 Mar; 18(3):253-61. PubMed ID: 19295383
[TBL] [Abstract][Full Text] [Related]
12. 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; 26(5):498-504. PubMed ID: 28333890
[TBL] [Abstract][Full Text] [Related]
13. Agreement among graders on Heidelberg retina tomograph (HRT) topographic change analysis (TCA) glaucoma progression interpretation.
Iester MM; Wollstein G; Bilonick RA; Xu J; Ishikawa H; Kagemann L; Schuman JS
Br J Ophthalmol; 2015 Apr; 99(4):519-23. PubMed ID: 25336573
[TBL] [Abstract][Full Text] [Related]
14. Sector-based analysis with the Heidelberg Retinal Tomograph 3 across disc sizes and glaucoma stages: a multicenter study.
Oddone F; Centofanti M; Iester M; Rossetti L; Fogagnolo P; Michelessi M; Capris E; Manni G
Ophthalmology; 2009 Jun; 116(6):1106-11.e1-3. PubMed ID: 19376590
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.
Rogers TW; Jaccard N; Carbonaro F; Lemij HG; Vermeer KA; Reus NJ; Trikha S
Eye (Lond); 2019 Nov; 33(11):1791-1797. PubMed ID: 31267086
[TBL] [Abstract][Full Text] [Related]
16. Optic disk and nerve fiber layer imaging to detect glaucoma.
BadalĂ F; Nouri-Mahdavi K; Raoof DA; Leeprechanon N; Law SK; Caprioli J
Am J Ophthalmol; 2007 Nov; 144(5):724-32. PubMed ID: 17868631
[TBL] [Abstract][Full Text] [Related]
17. Agreement between stereoscopic photographs, clinical assessment, Heidelberg retina tomograph and digital stereoscopic optic disc camera in estimating vertical cup:disc ratio.
Jayasundera T; Danesh-Meyer HV; Donaldson M; Gamble G
Clin Exp Ophthalmol; 2005 Jun; 33(3):259-63. PubMed ID: 15932529
[TBL] [Abstract][Full Text] [Related]
18. Efficacy of automated computer-aided diagnosis of retinal nerve fibre layer defects in healthcare screening.
Han SB; Yang HK; Oh JE; Kim KG; Hwang JM
Br J Ophthalmol; 2017 Mar; 101(3):295-298. PubMed ID: 27281753
[TBL] [Abstract][Full Text] [Related]
19. Sensitivity and specificity of the Heidelberg Retina Tomograph II Version 3.0 in a population-based study: the Tajimi Study.
Saito H; Tsutsumi T; Araie M; Tomidokoro A; Iwase A
Ophthalmology; 2009 Oct; 116(10):1854-61. PubMed ID: 19660814
[TBL] [Abstract][Full Text] [Related]
20. Glaucoma Screening in Nepal: Cup-to-Disc Estimate With Standard Mydriatic Fundus Camera Compared to Portable Nonmydriatic Camera.
Miller SE; Thapa S; Robin AL; Niziol LM; Ramulu PY; Woodward MA; Paudyal I; Pitha I; Kim TN; Newman-Casey PA
Am J Ophthalmol; 2017 Oct; 182():99-106. PubMed ID: 28734816
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]