Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer-Reference-Cited by-同舟云学术

Deblurring retinal optical coherence tomography via a convolutional neural network with anisotropic and double convolution layer

Published:2018-05-21 Issue:6 Volume:12 Page:900-907
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Lian Jian¹²³⁴,Hou Sujuan²³⁴,Sui Xiaodan²³⁴,Xu Fangzhou⁵,Zheng Yuanjie²³⁴

Affiliation:

1. Department of Electrical Engineering Information TechnologyShandong University of Science and TechnologyJinan250031People's Republic of China

2. School of Information Science and Engineering, Shandong Normal UniversityJinan250358People's Republic of China

3. Key Laboratory of Intelligent Computing & Information Security, Universities of ShandongJinan250358People's Republic of China

4. Institute of Life Sciences, Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology and Key Laboratory of Intelligent Information ProcessingJinan250358People's Republic of China

5. School of Electrical Engineering and Automation, Qilu University of Technology (Shandong Academy of Sciences)Jinan250353People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2018.0016

Reference58 articles.

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5. Macular morphology assessed by optical coherence tomography image segmentation after femtosecond laser–assisted and standard cataract surgery

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