656 related articles for article (PubMed ID: 30316669)
1. 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]
2. 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]
3. Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model.
Zheng C; Xie X; Huang L; Chen B; Yang J; Lu J; Qiao T; Fan Z; Zhang M
Graefes Arch Clin Exp Ophthalmol; 2020 Mar; 258(3):577-585. PubMed ID: 31811363
[TBL] [Abstract][Full Text] [Related]
4. Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma.
Hashimoto Y; Asaoka R; Kiwaki T; Sugiura H; Asano S; Murata H; Fujino Y; Matsuura M; Miki A; Mori K; Ikeda Y; Kanamoto T; Yamagami J; Inoue K; Tanito M; Yamanishi K
Br J Ophthalmol; 2021 Apr; 105(4):507-513. PubMed ID: 32593978
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Validating the Usefulness of the "Random Forests" Classifier to Diagnose Early Glaucoma With Optical Coherence Tomography.
Asaoka R; Hirasawa K; Iwase A; Fujino Y; Murata H; Shoji N; Araie M
Am J Ophthalmol; 2017 Feb; 174():95-103. PubMed ID: 27836484
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Optical Coherence Tomography Angiography Compared With Optical Coherence Tomography Macular Measurements for Detection of Glaucoma.
Wan KH; Lam AKN; Leung CK
JAMA Ophthalmol; 2018 Aug; 136(8):866-874. PubMed ID: 29852029
[TBL] [Abstract][Full Text] [Related]
10. Peripapillary and Macular Vessel Density in Patients with Primary Open-Angle Glaucoma and Unilateral Visual Field Loss.
Yarmohammadi A; Zangwill LM; Manalastas PIC; Fuller NJ; Diniz-Filho A; Saunders LJ; Suh MH; Hasenstab K; Weinreb RN
Ophthalmology; 2018 Apr; 125(4):578-587. PubMed ID: 29174012
[TBL] [Abstract][Full Text] [Related]
11. A novel method to detect local ganglion cell loss in early glaucoma using spectral-domain optical coherence tomography.
Takayama K; Hangai M; Durbin M; Nakano N; Morooka S; Akagi T; Ikeda HO; Yoshimura N
Invest Ophthalmol Vis Sci; 2012 Oct; 53(11):6904-13. PubMed ID: 22977136
[TBL] [Abstract][Full Text] [Related]
12. Comparison of retinal nerve fiber layer and macular thickness for discriminating primary open-angle glaucoma and normal-tension glaucoma using optical coherence tomography.
Khanal S; Davey PG; Racette L; Thapa M
Clin Exp Optom; 2016 Jul; 99(4):373-81. PubMed ID: 26996257
[TBL] [Abstract][Full Text] [Related]
13. Projection-Resolved Optical Coherence Tomography Angiography of Macular Retinal Circulation in Glaucoma.
Takusagawa HL; Liu L; Ma KN; Jia Y; Gao SS; Zhang M; Edmunds B; Parikh M; Tehrani S; Morrison JC; Huang D
Ophthalmology; 2017 Nov; 124(11):1589-1599. PubMed ID: 28676279
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of macular ganglion cell analysis compared to retinal nerve fiber layer thickness for preperimetric glaucoma diagnosis.
Kaushik S; Kataria P; Jain V; Joshi G; Raj S; Pandav SS
Indian J Ophthalmol; 2018 Apr; 66(4):511-516. PubMed ID: 29582810
[TBL] [Abstract][Full Text] [Related]
15. Detection of macular ganglion cell loss in preperimetric glaucoma patients with localized retinal nerve fibre defects by spectral-domain optical coherence tomography.
Na JH; Lee K; Lee JR; Baek S; Yoo SJ; Kook MS
Clin Exp Ophthalmol; 2013 Dec; 41(9):870-80. PubMed ID: 23777476
[TBL] [Abstract][Full Text] [Related]
16. Diagnosis of Early-Stage Glaucoma by Grid-Wise Macular Inner Retinal Layer Thickness Measurement and Effect of Compensation of Disc-Fovea Inclination.
Mayama C; Saito H; Hirasawa H; Tomidokoro A; Araie M; Iwase A; Ohkubo S; Sugiyama K; Hangai M; Yoshimura N
Invest Ophthalmol Vis Sci; 2015 Aug; 56(9):5681-90. PubMed ID: 26313303
[TBL] [Abstract][Full Text] [Related]
17. Comparative study of macular ganglion cell complex thickness measured by spectral-domain optical coherence tomography in healthy eyes, eyes with preperimetric glaucoma, and eyes with early glaucoma.
Kim YJ; Kang MH; Cho HY; Lim HW; Seong M
Jpn J Ophthalmol; 2014 May; 58(3):244-51. PubMed ID: 24610541
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Circumpapillary microperimetry to detect glaucoma: a pilot study for sector-based comparison to circumpapillary retinal nerve fiber layer measurement.
Kita Y; Hollό G; Saito T; Murai A; Kita R; Hirakata A
Int Ophthalmol; 2019 Jan; 39(1):127-136. PubMed ID: 29249069
[TBL] [Abstract][Full Text] [Related]
20. Trend-based Analysis of Ganglion Cell-Inner Plexiform Layer Thickness Changes on Optical Coherence Tomography in Glaucoma Progression.
Lee WJ; Kim YK; Park KH; Jeoung JW
Ophthalmology; 2017 Sep; 124(9):1383-1391. PubMed ID: 28412067
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]