A Dual-Modal Fusion Network Using Optical Coherence Tomography and Fundus Images in Detection of Glaucomatous Optic Neuropathy-Reference-Cited by-同舟云学术

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A Dual-Modal Fusion Network Using Optical Coherence Tomography and Fundus Images in Detection of Glaucomatous Optic Neuropathy

Published:2024-07-09 Issue: Volume: Page:1-7
ISSN:0271-3683
Container-title:Current Eye Research
language:en
Short-container-title:Current Eye Research

Author:

Xu Yongli¹²,Sun Run¹,Hu Man³,Zeng Hui¹

Affiliation:

1. College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, China

2. College of Statistics and Data Science, Faculty of Science, Beijing University of Technology, Beijing, China

3. Department of Ophthalmology, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing, China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02713683.2024.2375401

Reference34 articles.

1. Glaucoma

2. Challenges In Early Glaucoma Detection

3. Efficacy for Differentiating Nonglaucomatous Versus Glaucomatous Optic Neuropathy Using Deep Learning Systems

4. Quantitative analysis of retinal layers' optical intensities on 3D optical coherence tomography for central retinal artery occlusion

5. Liu X Yang Z Wang JA. Novel noise reduction method for optical coherence tomography images. CISP-BMEI (pp. 167–171) 2016. Available from: https://ieeexplore.ieee.org/document/7852702.

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