Applications of Explainable Artificial Intelligent Algorithms to Age-related Macular Degeneration Diagnosis: A Case Study Based on CNN, Attention, and CAM Mechanism-Reference-Cited by-同舟云学术

Applications of Explainable Artificial Intelligent Algorithms to Age-related Macular Degeneration Diagnosis: A Case Study Based on CNN, Attention, and CAM Mechanism

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Contemporary Computing and Communications (InC4)
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Author:

Wang Mini¹,Lin Zhiyuan²,Zhou Junjie¹,Xing Lumin³,Zeng Peijin²

Affiliation:

1. City University of Macau,The faculty of Data Science,Macau,China

2. Beijing Institute of Technology,Zhuhai,China

3. The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial,Qianfoshan Hospital,Jina,China

Funder

Natural Science Foundation of Chongqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262404/10262827/10263077.pdf?arnumber=10263077

Reference18 articles.

1. A Bibliographic Study and Quantitative Analysis of Age- related Macular Degeneration and Fundus Images;Wang;Annals of Ophthalmology and Visual Sciences,2022

2. Applications of AI to Age-Related Macular Degeneration: a case study and a brief review

3. Classifying neovascular age-related macular degeneration with a deep convolutional neural network based on optical coherence tomography images

4. OCT Signs of Early Atrophy in Age-Related Macular Degeneration: Interreader Agreement

5. Progression of cRORA (Complete RPE and Outer Retinal Atrophy) in Dry Age-Related Macular Degeneration Measured Using SD-OCT

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