A neural network approach to retinal layer boundary identification from optical coherence tomography images

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2015

Volumn , Issue , 2015, Pages

  McDonough, Kevin ^a   Kolmanovsky, Ilya ^a   Glybina, Inna V ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b WAYNE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; TOMOGRAPHY;

BOUNDARY IDENTIFICATION; RETINAL LAYERS; USER INPUT;

NETWORK LAYERS;

EID: 84953426080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2015.7300299     Document Type: Conference Paper

References (18)

1. J. H. Acton, R. T. Smith, D. C. Hood, and V. C. Greenstein, "Relationship between retinal layer thickness and the visual field in early age-related macular degeneration," Investigative ophthalmology & visual science, vol. 53, no. 12, pp. 7618-7624, 2012.
2. S. Vujosevic and E. Midena, "Retinal layers changes in human preclinical and early clinical diabetic retinopathy support early retinal neuronal and müller cells alterations," Journal of diabetes research, vol. 2013, 2013.
3. L. Pelosini, C. C. Hull, J. F. Boyce, D. McHugh, M. R. Stanford, and J. Marshall, "Optical coherence tomography may be used to predict visual acuity in patients with macular edema," Investigative ophthalmology & visual science, vol. 52, no. 5, pp. 2741-2748, 2011.
4. M. F. Marmor, "Comparison of screening procedures in hydroxychloroquine toxicity," Archives of ophthalmology, vol. 130, no. 4, pp. 461-469, 2012.
5. D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, et al., "Optical coherence tomography," Science, vol. 254, no. 5035, pp. 1178-1181, 1991.
6. A. F. Fercher, "Optical coherence tomography," Journal of Biomedical Optics, vol. 1, no. 2, pp. 157-173, 1996.
7. A. G. Podoleanu, "Optical coherence tomography," 2014.
8. E. Garcia-Martin, J. M. Larrosa, V. Polo, M. Satue, M. L. Marques, R. Alarcia, M. Seral, I. Fuertes, S. Otin, and L. E. Pablo, "Distribution of retinal layer atrophy in patients with parkinson disease and association with disease severity and duration," American journal of ophthalmology, vol. 157, no. 2, pp. 470-478, 2014.
9. D. Ferrara, K. J. Mohler, N. Waheed, M. Adhi, J. J. Liu, I. Grulkowski, M. F. Kraus, C. Baumal, J. Hornegger, J. G. Fujimoto, et al., "En face enhanced-depth swept-source optical coherence tomography features of chronic central serous chorioretinopathy," Ophthalmology, vol. 121, no. 3, pp. 719-726, 2014.
10. M. D. Abràmoff, M. K. Garvin, and M. Sonka, "Retinal imaging and image analysis," IEEE reviews in biomedical engineering, vol. 3, pp. 169-208, 2010.
11. M. A. Seigo, E. S. Sotirchos, S. Newsome, A. Babiarz, C. Eckstein, J. D. Oakley, S. B. Syc, T. C. Frohman, J. N. Ratchford, L. J. Balcer, et al., "In vivo assessment of retinal neuronal layers in multiple sclerosis with manual and automated optical coherence tomography segmentation techniques," Journal of neurology, vol. 259, no. 10, pp. 2119-2130, 2012.
12. Y. Huang, R. P. Danis, J. W. Pak, S. Luo, J. White, X. Zhang, A. Narkar, and A. Domalpally, "Development of a semi-automatic segmentation method for retinal oct images tested in patients with diabetic macular edema," PloS one, vol. 8, no. 12, p. e82922, 2013.
13. M. C. Savastano, A. M. Minnella, A. Tamburrino, G. Giovinco, S. Ventre, and B. Falsini, "Differential vulnerability of retinal layers to early age-related macular degeneration: Evidence by sd-oct segmentation analysis," Investigative ophthalmology & visual science, vol. 55, no. 1, pp. 560-566, 2014.
14. G. Gardner, D. Keating, T. Williamson, and A. Elliott, "Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.," British journal of Ophthalmology, vol. 80, no. 11, pp. 940-944, 1996.
15. C. Sinthanayothin, J. Boyce, T. Williamson, H. Cook, E. Mensah, S. Lal, and D. Usher, "Automated detection of diabetic retinopathy on digital fundus images," Diabetic medicine, vol. 19, no. 2, pp. 105-112, 2002.
16. 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," Optics express, vol. 18, no. 18, pp. 19413-19428, 2010.
17. H. Demuth and M. Beale, "Neural network toolbox for use with matlab," 1993.
18. P. Refaeilzadeh, L. Tang, and H. Liu, "Cross-validation," in Encyclopedia of database systems, pp. 532-538, Springer, 2009.