A Cross-Modal Feature Fusion Method to Diagnose Macular Fibrosis in Neovascular Age-Related Macular Degeneration-Reference-Cited by-同舟云学术

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A Cross-Modal Feature Fusion Method to Diagnose Macular Fibrosis in Neovascular Age-Related Macular Degeneration

Published:2024-05-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Lei Xin¹,Chen Zhongping²,Liu Hong¹,Chen Juan²,Tan Huanhuan²,Dai Weiwei²,Wang Xiangdong¹,Xu Heping²

Affiliation:

1. Chinese Academy of Sciences,Beijing Key Laboratory of Mobile Computing and Pervasive Device, Institute of Computing Technology,China

2. Changsha Aier Eye Hospital,Aier Eye Institute,Changsha,Hunan,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635126.pdf?arnumber=10635126

Reference19 articles.

1. Automated Age-Related Macular Degeneration and Diabetic Macular Edema Detection on OCT Images using Deep Learning

2. Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

3. Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs

4. Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images

5. Automated detection of exudative age-related macular degeneration in spectral domain optical coherence tomography using deep learning

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