Optimizing a Convolutional Neural Network with a Hierarchical Genetic Algorithm for Diabetic Retinopathy Detection-Reference-Cited by-同舟云学术

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Optimizing a Convolutional Neural Network with a Hierarchical Genetic Algorithm for Diabetic Retinopathy Detection

Published:2023 Issue: Volume: Page:199-208
ISSN:1860-949X
Container-title:Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design
language:
Short-container-title:

Author:

Cordero-Martínez Rodrigo^ORCID,Sánchez Daniela^ORCID,Melin Patricia^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22042-5_11

Reference25 articles.

1. L. Qiao, Y. Zhu, H. Zhou, Diabetic retinopathy detection using prognosis of microaneurysm and early diagnosis system for non-proliferative diabetic retinopathy based on deep learning algorithms. IEEE Access 8, 104292–104302 (2020). https://doi.org/10.1109/access.2020.2993937

2. E.K. Fenwick, K. Pesudovs, J. Khadka et al., The impact of diabetic retinopathy on quality of life: qualitative findings from an item bank development project. Qual. Life Res. 21, 1771–1782 (2012). https://doi.org/10.1007/s11136-012-0110-1

3. A. Das, S. Stroud, A. Mehta, S. Rangasamy, New treatments for diabetic retinopathy. Diabetes Obes. Metab. 17, 219–230 (2014). https://doi.org/10.1111/dom.12384

4. L. Guariguata, D.R. Whiting, I. Hambleton et al., Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res. Clin. Pract. 103, 137–149 (2014). https://doi.org/10.1016/j.diabres.2013.11.002

5. G.M. Somfai, E. Tátrai, L. Laurik et al., Automated classifiers for early detection and diagnosis of retinopathy in diabetic eyes. BMC Bioinform. (2014). https://doi.org/10.1186/1471-2105-15-106

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid generative model for grading the severity of diabetic retinopathy images;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-10-15

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