Cataract grading method based on deep convolutional neural networks and stacking ensemble learning-Reference-Cited by-同舟云学术

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Cataract grading method based on deep convolutional neural networks and stacking ensemble learning

Published:2022-03-09 Issue:3 Volume:32 Page:798-814
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Elloumi Yaroub¹²³^ORCID

Affiliation:

1. LIGM, University Gustave Eiffel CNRS, ESIEE Paris Marne‐la‐Vallée France

2. Medical Technology and Image Processing Laboratory Faculty of Medicine, University of Monastir Monastir Tunisia

3. ISITCom Hammam‐Sousse University of Sousse Sousse Tunisia

Funder

Campus France

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22722

Reference57 articles.

1. Unified Diagnosis Framework for Automated Nuclear Cataract Grading Based on Smartphone Slit-Lamp Images

2. Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition

3. CaoL LiH ZhangY XuL&ZhangL. Hierarchical method for cataract grading based on retinal images using improved Haar wavelet 2019 arXiv:1904.01261.

4. SongW CaoY QiaoZ WangQ&YangJ. An improved semi‐supervised learning method on cataract fundus image classification. paper presented at: 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) 2019 vol. 2 pp. 362–367 doi: 10.1109/COMPSAC.2019.10233

5. AgarwalV GuptaV VashishtVM SharmaK&SharmaN. Mobile application based cataract detection system. Paper presented at: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) pp. 780–787 doi: 10.1109/ICOEI.2019.8862774

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