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.
130 related articles for article (PubMed ID: 31211004)
1. Automatic Segmentation of Corneal Microlayers on Optical Coherence Tomography Images. Elsawy A; Abdel-Mottaleb M; Sayed IO; Wen D; Roongpoovapatr V; Eleiwa T; Sayed AM; Raheem M; Gameiro G; Shousha MA Transl Vis Sci Technol; 2019 May; 8(3):39. PubMed ID: 31211004 [TBL] [Abstract][Full Text] [Related]
2. An Automatic Algorithm for Segmentation of the Boundaries of Corneal Layers in Optical Coherence Tomography Images using Gaussian Mixture Model. Jahromi MK; Kafieh R; Rabbani H; Dehnavi AM; Peyman A; Hajizadeh F; Ommani M J Med Signals Sens; 2014 Jul; 4(3):171-80. PubMed ID: 25298926 [TBL] [Abstract][Full Text] [Related]
3. Pathological-Corneas Layer Segmentation and Thickness Measurement in OCT Images. Elsawy A; Gregori G; Eleiwa T; Abdel-Mottaleb M; Shousha MA Transl Vis Sci Technol; 2020 Oct; 9(11):24. PubMed ID: 33173606 [TBL] [Abstract][Full Text] [Related]
4. A Hybrid Model Composed of Two Convolutional Neural Networks (CNNs) for Automatic Retinal Layer Segmentation of OCT Images in Retinitis Pigmentosa (RP). Wang YZ; Wu W; Birch DG Transl Vis Sci Technol; 2021 Nov; 10(13):9. PubMed ID: 34751740 [TBL] [Abstract][Full Text] [Related]
5. In-vivo Three-dimensional Characteristics of Bowman's Layer and Endothelium/Descemet's Complex Using Corneal Microlayer Tomography in Healthy Subjects. Eleiwa TK; Elsawy A; Syed ZA; Roongpoovapatr V; Sayed AM; Yoo SH; Abou Shousha M Curr Eye Res; 2020 Jun; 45(6):659-667. PubMed ID: 32064952 [No Abstract] [Full Text] [Related]
6. Automatic segmentation of the central epithelium imaged with three optical coherence tomography devices. Ge L; Shen M; Tao A; Wang J; Dou G; Lu F Eye Contact Lens; 2012 May; 38(3):150-7. PubMed ID: 22415151 [TBL] [Abstract][Full Text] [Related]
7. Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation. Rabbani H; Kafieh R; Kazemian Jahromi M; Jorjandi S; Mehri Dehnavi A; Hajizadeh F; Peyman A Int J Biomed Imaging; 2016; 2016():1420230. PubMed ID: 27247559 [TBL] [Abstract][Full Text] [Related]
8. Agreement of corneal epithelial profiles produced by automated segmentation of SD-OCT images having different optical resolutions. Shen M; Xu Z; Yang C; Leng L; Liu J; Chen Q; Wang J; Lu F Eye Contact Lens; 2014 Mar; 40(2):99-105. PubMed ID: 24492238 [TBL] [Abstract][Full Text] [Related]
9. Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP. Wang YZ; Galles D; Klein M; Locke KG; Birch DG Transl Vis Sci Technol; 2020 Mar; 9(2):15. PubMed ID: 32818077 [TBL] [Abstract][Full Text] [Related]
10. Robust and accurate corneal interfaces segmentation in 2D and 3D OCT images. Zhu X; Huang W; Ma S; Yi Q Front Med (Lausanne); 2024; 11():1381758. PubMed ID: 38562374 [TBL] [Abstract][Full Text] [Related]
11. Establishing an objective biomarker for corneal cystinosis using a threshold-based Spectral domain optical coherence tomography imaging algorithm. Keidel L; Elhardt C; Hohenfellner K; Priglinger S; Schworm B; Wertheimer C; Priglinger C; Luft N Acta Ophthalmol; 2021 Mar; 99(2):e189-e195. PubMed ID: 32833325 [TBL] [Abstract][Full Text] [Related]
12. Repeatability and Reproducibility of Corneal Epithelial Thickness Mapping With Spectral-Domain Optical Coherence Tomography in Normal and Diseased Cornea Eyes. Sella R; Zangwill LM; Weinreb RN; Afshari NA Am J Ophthalmol; 2019 Jan; 197():88-97. PubMed ID: 30240724 [TBL] [Abstract][Full Text] [Related]
13. Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images. Hu Z; Medioni GG; Hernandez M; Hariri A; Wu X; Sadda SR Invest Ophthalmol Vis Sci; 2013 Dec; 54(13):8375-83. PubMed ID: 24265015 [TBL] [Abstract][Full Text] [Related]
14. Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells. Canavesi C; Cogliati A; Hindman HB J Biomed Opt; 2020 Aug; 25(9):1-17. PubMed ID: 32770867 [TBL] [Abstract][Full Text] [Related]
15. The repeatability of corneal and corneal epithelial thickness measurements using optical coherence tomography. Sin S; Simpson TL Optom Vis Sci; 2006 Jun; 83(6):360-5. PubMed ID: 16772894 [TBL] [Abstract][Full Text] [Related]
16. Segmentation Errors in Macular Ganglion Cell Analysis as Determined by Optical Coherence Tomography. Hwang YH; Kim MK; Kim DW Ophthalmology; 2016 May; 123(5):950-8. PubMed ID: 26854040 [TBL] [Abstract][Full Text] [Related]
17. Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning. Kugelman J; Alonso-Caneiro D; Chen Y; Arunachalam S; Huang D; Vallis N; Collins MJ; Chen FK Transl Vis Sci Technol; 2020 Oct; 9(11):12. PubMed ID: 33133774 [TBL] [Abstract][Full Text] [Related]
18. Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images. Tian J; Marziliano P; Baskaran M; Tun TA; Aung T Biomed Opt Express; 2013 Mar; 4(3):397-411. PubMed ID: 23504041 [TBL] [Abstract][Full Text] [Related]
19. Reliability of Entire Corneal Thickness Mapping in Normal Post-Laser in situ Keratomileusis and Keratoconus Eyes Using Long Scan Depth Spectral Domain Optical Coherence Tomography. Xu Z; Chen S; Yang C; Huang S; Shen M; Wang Y Ophthalmic Res; 2018; 59(3):115-125. PubMed ID: 28848137 [TBL] [Abstract][Full Text] [Related]
20. Comparative study of central corneal thickness measurement with slit-lamp optical coherence tomography and visante optical coherence tomography. Li H; Leung CK; Wong L; Cheung CY; Pang CP; Weinreb RN; Lam DS Ophthalmology; 2008 May; 115(5):796-801.e2. PubMed ID: 17916376 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]