Automated segmentation of retinal nonperfusion area in fluorescein angiography in retinal vein occlusion using convolutional neural networks-Reference-Cited by-同舟云学术

Automated segmentation of retinal nonperfusion area in fluorescein angiography in retinal vein occlusion using convolutional neural networks

Published:2020-12-23 Issue:2 Volume:48 Page:648-658
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Tang Ziqi¹,Zhang Ximei²,Yang Guangqian¹,Zhang Guanghua³⁴,Gong Yubin¹,Zhao Ke¹,Xie Juan²,Hou Junjun²,Hou Jia²,Sun Bin²,Wang Zhao¹

Affiliation:

1. School of Electronic Science and Engineering University of Electronic Science and Technology of China No.4, Section 2, North Jianshe Road Chengdu Sichuan610054China

2. Shanxi Eye Hospital 100 Fudong Street Taiyuan Shanxi030002China

3. Shanxi Intelligence Institute of Big Data Technology and Innovation 529 South Zhonghuan Street Taiyuan Shanxi030000China

4. Department of Computer Engineering Taiyuan University 18 South Dachang Street Taiyuan Shanxi030000China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14640

Reference41 articles.

1. The burden of disease of retinal vein occlusion: review of the literature

2. The Prevalence of Retinal Vein Occlusion: Pooled Data from Population Studies from the United States, Europe, Asia, and Australia

3. Retinal Vein Occlusion: Beyond the Acute Event

4. Visual Acuity Is Correlated with the Area of the Foveal Avascular Zone in Diabetic Retinopathy and Retinal Vein Occlusion

5. Natural History of Branch Retinal Vein Occlusion: An Evidence-Based Systematic Review

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