Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis-Reference-Cited by-同舟云学术

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Deep sparse autoencoder integrated with three‐stage framework for glaucoma diagnosis

Published:2022-05-19 Issue:10 Volume:37 Page:7944-7967
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Wang Wenle¹^ORCID,Zhou Wei²^ORCID,Ji Jianhang²,Yang Jikun³,Guo Wei²,Gong Zhaoxuan²,Yi Yugen¹^ORCID,Wang Jianzhong⁴

Affiliation:

1. School of Software Jiangxi Normal University Nanchang China

2. College of Computer Science Shenyang Aerospace University Shenyang China

3. Shenyang Aier Excellence Eye Hospital Co. Ltd. Shenyang China

4. College of Information Science and Technology Northeast Normal University Changchun China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22911

Reference55 articles.

1. Computer-aided diagnosis of glaucoma using fundus images: A review

2. Glaucoma detection using image processing techniques: a literature review;Sarhan A;Comput Med Imaging Graph,2019

3. Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis

4. Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040

5. A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection

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