Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior-Reference-Cited by-同舟云学术

Automated segmentation of choroidal neovascularization in optical coherence tomography images using multi-scale convolutional neural networks with structure prior

Published:2018-01-25 Issue:2 Volume:25 Page:95-102
ISSN:0942-4962
Container-title:Multimedia Systems
language:en
Short-container-title:Multimedia Systems

Author:

Xi Xiaoming,Meng Xianjing,Yang Lu,Nie Xiushan,Yang Gongping,Chen Haoyu,Fan Xin,Yin Yilong,Chen Xinjian

Funder

National Basic Research Program of China

National Science Fund for Outstanding Young Scholars

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

the Fostering Project of Dominant Discipline and Talent Team of Shandong Province Higher Education Institutions

Shandong Provincial Key Research and Development Plan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Link

http://link.springer.com/article/10.1007/s00530-017-0582-5/fulltext.html

Reference27 articles.

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4. de Carlo, T.E., Bonini Filho, M.A., Chin, A.T., Adhi, M., Ferrara, D., Baumal, C.R., Witkin, A.J., Reichel, E., Duker, J.S., Waheed, N.K.: Spectral-domain optical coherence tomography angiography of choroidal neovascularization. Ophthalmology. 122, 6, 1228–1238 (2015)

5. Shi, F., Chen, X., Zhao, H., Zhu, W., Xiang, D., Gao, E., Sonka, M., Chen, H.: Automated 3-D retinal layer segmentation of macular optical coherence tomography images with serous pigment epithelial detachments. IEEE Trans. Med. Imaging 34, 2, 441–452 (2015)

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