The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment-Reference-Cited by-同舟云学术

The possibility of the combination of OCT and fundus images for improving the diagnostic accuracy of deep learning for age-related macular degeneration: a preliminary experiment

Published:2018-10-22 Issue:3 Volume:57 Page:677-687
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Yoo Tae Keun^ORCID,Choi Joon Yul,Seo Jeong Gi,Ramasubramanian Bhoopalan,Selvaperumal Sundaramoorthy,Kim Deok Won

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s11517-018-1915-z/fulltext.html

Reference44 articles.

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2. Ferris FL, Wilkinson CP, Bird A et al (2013) Clinical classification of age-related macular degeneration. Ophthalmology 120:844–851. https://doi.org/10.1016/j.ophtha.2012.10.036

3. Choi JY, Yoo TK, Seo JG, Kwak J, Um TT, Rim TH (2017) Multi-categorical deep learning neural network to classify retinal images: a pilot study employing small database. PLoS One 12:e0187336. https://doi.org/10.1371/journal.pone.0187336

4. Lam C, Yu C, Huang L, Rubin D (2018) Retinal lesion detection with deep learning using image patches. Invest Ophthalmol Vis Sci 59:590–596. https://doi.org/10.1167/iovs.17-22721

5. Burlina PM, Joshi N, Pekala M, Pacheco KD, Freund DE, Bressler NM (2017) Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks. JAMA Ophthalmol 135:1170–1176. https://doi.org/10.1001/jamaophthalmol.2017.3782

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