Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning-Reference-Cited by-同舟云学术

Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning

Published:2019-02-28 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Masood Saleha,Fang Ruogu^ORCID,Li Ping^ORCID,Li Huating,Sheng Bin^ORCID,Mathavan Akash,Wang Xiangning,Yang Po^ORCID,Wu Qiang,Qin Jing,Jia Weiping^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-39795-x.pdf

Reference56 articles.

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3. Abadia, B. et al. Choroidal thickness measured using swept-source optical coherence tomography is reduced in patients with type 2 diabetes. PloS one 13(2) (2018).

4. Melancia, D. et al. Diabetic choroidopathy: a review of the current literature. Graefe’s Archive for Clinical and Experimental Ophthalmology 254(8), 1453–1461 (2016).

5. Schmitt, J. M. et al. Optical coherence tomography (OCT): a review. IEEE Journal of Selected Topics in Quantum Electronics 5(4), 1205–1215 (1999).

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