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Volumn 8, Issue 3, 2017, Pages 1874-1888

Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context

Author keywords

Image processing; Ophthalmology; Optical coherence tomography; Three dimensional image processing

Indexed keywords

AUTOMATION; GRAPH THEORY; IMAGE PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; OPHTHALMOLOGY; OPTICAL DATA PROCESSING; TOMOGRAPHY;

EID: 85016094959     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.8.001874     Document Type: Article
Times cited : (91)

References (24)
  • 1
    • 45149098715 scopus 로고    scopus 로고
    • Age-related macular degeneration
    • R. D. Jager, W. F. Mieler, and J. W. Miller, “Age-related macular degeneration,” New Engl. J. Med. 358, 2606–2617 (2008).
    • (2008) New Engl. J. Med , vol.358 , pp. 2606-2617
    • Jager, R.D.1    Mieler, W.F.2    Miller, J.W.3
  • 3
    • 84992597388 scopus 로고    scopus 로고
    • Anti-vascular endothelial growth factor agents in the treatment of retinal disease: From bench to bedside
    • P. A. Campochiaro, L. P. Aiello, and P. J. Rosenfeld, “Anti-vascular endothelial growth factor agents in the treatment of retinal disease: From bench to bedside,” Ophthalmology 123, S78–S88 (2016).
    • (2016) Ophthalmology , vol.123 , pp. S78-S88
    • Campochiaro, P.A.1    Aiello, L.P.2    Rosenfeld, P.J.3
  • 5
    • 84925373614 scopus 로고    scopus 로고
    • Pigment epithelial detachment followed by retinal cystoid degeneration leads to vision loss in treatment of neovascular age-related macular degeneration
    • U. Schmidt-Erfurth, S. M. Waldstein, G.-G. Deak, M. Kundi, and C. Simader, “Pigment epithelial detachment followed by retinal cystoid degeneration leads to vision loss in treatment of neovascular age-related macular degeneration,” Ophthalmology 122, 822–832 (2015).
    • (2015) Ophthalmology , vol.122 , pp. 822-832
    • Schmidt-Erfurth, U.1    Waldstein, S.M.2    Deak, G.-G.3    Kundi, M.4    Simader, C.5
  • 6
    • 84951033157 scopus 로고    scopus 로고
    • Predictive value of retinal morphology for visual acuity outcomes of different ranibizumab treatment regimens for neovascular AMD
    • S. M. Waldstein, J. Wright, J. Warburton, P. Margaron, C. Simader, and U. Schmidt-Erfurth, “Predictive value of retinal morphology for visual acuity outcomes of different ranibizumab treatment regimens for neovascular AMD,” Ophthalmology 123, 60–69 (2016).
    • (2016) Ophthalmology , vol.123 , pp. 60-69
    • Waldstein, S.M.1    Wright, J.2    Warburton, J.3    Margaron, P.4    Simader, C.5    Schmidt-Erfurth, U.6
  • 7
    • 1942423868 scopus 로고    scopus 로고
    • Three-dimensional imaging of the human retina by high-speed optical coherence tomography
    • C. K. Hitzenberger, P. Trost, P.-W. Lo, and Q. Zhou, “Three-dimensional imaging of the human retina by high-speed optical coherence tomography,” Opt. Express 11, 2753–2761 (2003).
    • (2003) Opt. Express , vol.11 , pp. 2753-2761
    • Hitzenberger, C.K.1    Trost, P.2    Lo, P.-W.3    Zhou, Q.4
  • 9
    • 84958576660 scopus 로고    scopus 로고
    • Correlation of 3-dimensionally quantified intraretinal and subretinal fluid with visual acuity in neovascular age-related macular degeneration
    • S. M. Waldstein, A.-M. Philip, R. Leitner, C. Simader, G. Langs, B. S. Gerendas, and U. Schmidt-Erfurth, “Correlation of 3-dimensionally quantified intraretinal and subretinal fluid with visual acuity in neovascular age-related macular degeneration,” JAMA Ophthalmol. 134, 182–190 (2016).
    • (2016) JAMA Ophthalmol , vol.134 , pp. 182-190
    • Waldstein, S.M.1    Philip, A.-M.2    Leitner, R.3    Simader, C.4    Langs, G.5    Gerendas, B.S.6    Schmidt-Erfurth, U.7
  • 10
    • 77956360101 scopus 로고    scopus 로고
    • Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
    • S. J. Chiu, X. T. Li, P. Nicholas, C. A. Toth, J. A. Izatt, and S. Farsiu, “Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation,” Opt. Express 18, 19413–19428 (2010).
    • (2010) Opt. Express , vol.18 , pp. 19413-19428
    • Chiu, S.J.1    Li, X.T.2    Nicholas, P.3    Toth, C.A.4    Izatt, J.A.5    Farsiu, S.6
  • 11
    • 84938930350 scopus 로고    scopus 로고
    • Metrics for evaluating 3D medical image segmentation: Analysis, selection, and tool
    • A. A. Taha and A. Hanbury, “Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool”, BMC Med Imaging 15, 29 (2015).
    • (2015) BMC Med Imaging , vol.15 , pp. 29
    • Taha, A.A.1    Hanbury, A.2
  • 12
    • 84942617306 scopus 로고    scopus 로고
    • Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema
    • S. J. Chiu, M. J. Allingham, P. S. Mettu, S. W. Cousins, J. A. Izatt, and S. Farsiu, “Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema,” Biomed. Opt. Express 6, 1172–1194 (2015).
    • (2015) Biomed. Opt. Express , vol.6 , pp. 1172-1194
    • Chiu, S.J.1    Allingham, M.J.2    Mettu, P.S.3    Cousins, S.W.4    Izatt, J.A.5    Farsiu, S.6
  • 13
    • 84864616479 scopus 로고    scopus 로고
    • Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: Probability constrained graph-search-graph-cut
    • X. Chen, M. Niemeijer, L. Zhang, K. Lee, M. D. Abramoff, and M. Sonka, “Three-dimensional segmentation of fluid-associated abnormalities in retinal OCT: Probability constrained graph-search-graph-cut,” IEEE Trans. Med. Imaging 31, 1521–1531 (2012).
    • (2012) IEEE Trans. Med. Imaging , vol.31 , pp. 1521-1531
    • Chen, X.1    Niemeijer, M.2    Zhang, L.3    Lee, K.4    Abramoff, M.D.5    Sonka, M.6
  • 14
    • 73849122331 scopus 로고    scopus 로고
    • Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images
    • M. K. Garvin, M. D. Abramoff, X. Wu, S. R. Russell, T. L. Burns, and M. Sonka, “Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images,” IEEE Trans. Med. Imaging 28, 1436–1447 (2009).
    • (2009) IEEE Trans. Med. Imaging , vol.28 , pp. 1436-1447
    • Garvin, M.K.1    Abramoff, M.D.2    Wu, X.3    Russell, S.R.4    Burns, T.L.5    Sonka, M.6
  • 15
    • 84983548350 scopus 로고    scopus 로고
    • “Predicting semantic descriptions from medical images with convolutional neural networks” Inf
    • T. Schlegl, S. M. Waldstein, W.-D. Vogl, U. Schmidt-Erfurth, and G. Langs, “Predicting semantic descriptions from medical images with convolutional neural networks” Inf. Process. Med. Imaging 24, 437–448 (2015).
    • (2015) Process. Med. Imaging , vol.24 , pp. 437-448
    • Schlegl, T.1    Waldstein, S.M.2    Vogl, W.-D.3    Schmidt-Erfurth, U.4    Langs, G.5
  • 17
    • 84981743617 scopus 로고    scopus 로고
    • Optimal retinal cyst segmentation from OCT images,” in “Medical Imaging 2016: Image Processing
    • SPIE 9784, 97841E
    • I. Oguz, L. Zhang, M. D. Abrámoff, and M. Sonka, “Optimal retinal cyst segmentation from OCT images,” in “Medical Imaging 2016: Image Processing,” M. A. Styner and Elsa D. Angelini, eds., Proc. SPIE 9784, 97841E (2016)
    • (2016) M. A. Styner and Elsa D. Angelini, Eds., Proc
    • Oguz, I.1    Zhang, L.2    Abrámoff, M.D.3    Sonka, M.4
  • 19
    • 84977123156 scopus 로고    scopus 로고
    • Learning layer-specific edges for segmenting retinal layers with large deformations
    • S. P. K. Karri, D. Chakraborthi, and J. Chatterjee, “Learning layer-specific edges for segmenting retinal layers with large deformations,” Biomed. Opt. Express 7, 2888–28901 (2016).
    • (2016) Biomed. Opt. Express , vol.7 , pp. 2888-28901
    • Karri, S.P.K.1    Chakraborthi, D.2    Chatterjee, J.3
  • 20
    • 84962608657 scopus 로고    scopus 로고
    • “Advanced image processing for optical coherence tomographic angiography of macular diseases,” Biomed
    • M. Zhang, J. Wang, A. D. Pechauer, T. S. Hwang, S. S. Gao, L. Liu, Li Liu, S. T. Bailey, D. J. Wilson, D. Huang, and Y. Jia, “Advanced image processing for optical coherence tomographic angiography of macular diseases,” Biomed. Opt. Express 6, 4661–4675 (2015).
    • (2015) Opt. Express , vol.6 , pp. 4661-4675
    • Zhang, M.1    Wang, J.2    Pechauer, A.D.3    Hwang, T.S.4    Gao, S.S.5    Liu, L.6    Li, L.7    Baileywilsonhuang, S.T.8    Jia, Y.9
  • 21
    • 77956051102 scopus 로고    scopus 로고
    • Auto-context and its application to high-level vision tasks and 3D brain image segmentation
    • Z. Tu and X. Bai, “Auto-context and its application to high-level vision tasks and 3D brain image segmentation,” IEEE Trans. Pattern Anal. Mach. Intell. 32, 1744–1757 (2010).
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell , vol.32 , pp. 1744-1757
    • Tu, Z.1    Bai, X.2
  • 22
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, “Random forests,” Mach. Learn. 45, 5–32 (2001).
    • (2001) Mach. Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 23
    • 84943403357 scopus 로고    scopus 로고
    • Rotation invariant eigenvessels and auto-context for retinal vessel detection,” in “Medical Imaging 2015: Image Processing
    • SPIE 9413 94131F
    • A. Montuoro, C. Simader, G. Langs, and U. Schmidt-Erfurth, “Rotation invariant eigenvessels and auto-context for retinal vessel detection,” in “Medical Imaging 2015: Image Processing,” S. Ourselin and M. A. Styner, eds., Proc. SPIE 9413 94131F (2015)
    • (2015) S. Ourselin and M. A. Styner, Eds., Proc
    • Montuoro, A.1    Simader, C.2    Langs, G.3    Schmidt-Erfurth, U.4
  • 24


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.