Researching | Retinal lesions graded algorithm that integrates coordinate perception and hybrid extraction

Journals >Opto-Electronic Engineering >Volume 51 >Issue 1 >Page 230276-1 > Article

Opto-Electronic Engineering
Vol. 51, Issue 1, 230276-1 (2024)

Retinal lesions graded algorithm that integrates coordinate perception and hybrid extraction

Liming Liang, Jiaxin Jin^*, Yao Feng, and Baohe Lu

Author Affiliations

School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China

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DOI: 10.12086/oee.2024.230276 Cite this Article

Liming Liang, Jiaxin Jin, Yao Feng, Baohe Lu. Retinal lesions graded algorithm that integrates coordinate perception and hybrid extraction[J]. Opto-Electronic Engineering, 2024, 51(1): 230276-1 Copy Citation Text

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References

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[17] W Zheng, Q H Shen, J Ren. Recognition and classification of diabetic retinopathy based on improved DR-Net algorithm. Acta Opt Sin, 41, 2210002(2021).

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[19] C Bhardwaj, S Jain, M Sood. Transfer learning based robust automatic detection system for diabetic retinopathy grading. Neural Comput Appl, 33, 13999-14019(2021).

[20] Z Wu, G L Shi, Y Chen et al. Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network. Artif Intell Med, 108, 101936(2020).

[21] L M Liang, K Lei, T Zhan et al. A feature-adaptive filtering algorithm for grading retinopathy. J Graph, 43, 815-824(2022).

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Liming Liang, Jiaxin Jin, Yao Feng, Baohe Lu. Retinal lesions graded algorithm that integrates coordinate perception and hybrid extraction[J]. Opto-Electronic Engineering, 2024, 51(1): 230276-1

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