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Volumn , Issue , 2016, Pages

A study on automated segmentation of retinal layers in optical coherence tomography images

Author keywords

Biomedical optical imaging; Image segmentation; Medical image processing; Optical coherence tomography; Retina

Indexed keywords

DIAGNOSIS; IMAGE PROCESSING; IMAGE SEGMENTATION; INTERFACES (COMPUTER); MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; OPTICAL DATA PROCESSING; OPTICAL TOMOGRAPHY; TOMOGRAPHY;

EID: 84969217922     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWW-BCI.2016.7457465     Document Type: Conference Paper
Times cited : (5)

References (10)
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  • 4
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  • 6
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    • Jul.
    • Y. Y. Boykov and M. P. Jolly, "Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images," Proc. ICCV, pp. 105-112, Jul. 2001.
    • (2001) Proc. ICCV , pp. 105-112
    • Boykov, Y.Y.1    Jolly, M.P.2
  • 7
    • 77956360101 scopus 로고    scopus 로고
    • Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
    • Aug.
    • S. J. Chiu, T. Li Xiao, 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, vol. 18. no. 18, pp. 19413-19428, Aug. 2010.
    • (2010) Opt. Express , vol.18 , Issue.18 , pp. 19413-19428
    • Chiu, S.J.1    Li Xiao, T.2    Nicholas, P.3    Toth, C.A.4    Izatt, J.A.5    Farsiu, S.6
  • 8
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    • I. Ghorbel, F. Rossant, I. Bloch, S. Tick, and M. Paques, "Automated segmentation of macular layers in OCT images and quantitative evaluation of performances", Pattern Recognit., vol. 44, no. 8, pp. 1590-1603, Aug. 2011.
    • (2011) Pattern Recognit. , vol.44 , Issue.8 , pp. 1590-1603
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  • 10
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    • Machine learning classifiers for glaucoma diagnosis based on classification of retinal nerve fibre layer thickness parameters measured by Stratus OCT
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    • D. Bizios, A. Heijl, J. L. Hougaard, and B. Bengtsson, "Machine learning classifiers for glaucoma diagnosis based on classification of retinal nerve fibre layer thickness parameters measured by Stratus OCT," Acta Ophthalmol., vol. 88, no. 1, pp. 44-52, Feb. 2010.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.