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.
8. Improving image segmentation performance and quantitative analysis via a computer-aided grading methodology for optical coherence tomography retinal image analysis. Debuc DC; Salinas HM; Ranganathan S; Tátrai E; Gao W; Shen M; Wang J; Somfai GM; Puliafito CA J Biomed Opt; 2010; 15(4):046015. PubMed ID: 20799817 [TBL] [Abstract][Full Text] [Related]
9. [Comparison of spectral- and time-domain OCT in regard of the automatic detection of central retinal thickness]. Beutelspacher SC; Schmidbauer JM Klin Monbl Augenheilkd; 2009 Feb; 226(2):115-9. PubMed ID: 19206045 [TBL] [Abstract][Full Text] [Related]
10. Automatic Vessel Shade-Robust Segmentation of Retinal Layers in OCT Images. González-López A; Ortega M; Penedo MG; Charlón P Stud Health Technol Inform; 2014; 207():47-54. PubMed ID: 25488210 [TBL] [Abstract][Full Text] [Related]
11. Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images. Köse C; Sevik U; Ikibaş C; Erdöl H Comput Methods Programs Biomed; 2012 Aug; 107(2):274-93. PubMed ID: 21757250 [TBL] [Abstract][Full Text] [Related]
12. Intra-retinal layer segmentation in optical coherence tomography using an active contour approach. Yazdanpanah A; Hamarneh G; Smith B; Sarunic M Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):649-56. PubMed ID: 20426167 [TBL] [Abstract][Full Text] [Related]
13. Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula. Quellec G; Lee K; Dolejsi M; Garvin MK; Abràmoff MD; Sonka M IEEE Trans Med Imaging; 2010 Jun; 29(6):1321-30. PubMed ID: 20363675 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Comparison of retinal thickness by Fourier-domain optical coherence tomography and OCT retinal image analysis software segmentation analysis derived from Stratus optical coherence tomography images. Tátrai E; Ranganathan S; Ferencz M; DeBuc DC; Somfai GM J Biomed Opt; 2011 May; 16(5):056004. PubMed ID: 21639572 [TBL] [Abstract][Full Text] [Related]
16. Evaluation of potential image acquisition pitfalls during optical coherence tomography and their influence on retinal image segmentation. Somfai GM; Salinas HM; Puliafito CA; Fernández DC J Biomed Opt; 2007; 12(4):041209. PubMed ID: 17867798 [TBL] [Abstract][Full Text] [Related]
17. Automated segmentation of optic disc in SD-OCT images and cup-to-disc ratios quantification by patch searching-based neural canal opening detection. Wu M; Leng T; de Sisternes L; Rubin DL; Chen Q Opt Express; 2015 Nov; 23(24):31216-29. PubMed ID: 26698750 [TBL] [Abstract][Full Text] [Related]
18. An accurate multimodal 3-D vessel segmentation method based on brightness variations on OCT layers and curvelet domain fundus image analysis. Kafieh R; Rabbani H; Hajizadeh F; Ommani M IEEE Trans Biomed Eng; 2013 Oct; 60(10):2815-23. PubMed ID: 23722446 [TBL] [Abstract][Full Text] [Related]
19. Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography. Hidalgo-Aguirre M; Gitelman J; Lesk MR; Costantino S J Biomed Opt; 2015 Nov; 20(11):116008. PubMed ID: 26598974 [TBL] [Abstract][Full Text] [Related]
20. A novel vessel segmentation algorithm for pathological retina images based on the divergence of vector fields. Lam BY; Yan H IEEE Trans Med Imaging; 2008 Feb; 27(2):237-46. PubMed ID: 18334445 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]