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Open Access

Peer-reviewed

Research Article

Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models

Zenglei Liu,

Roles Formal analysis, Investigation, Validation, Writing – review & editing

Affiliation School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang, China
⨯
Ailian Gao ,

Roles Formal analysis, Investigation, Project administration, Validation, Writing – review & editing

* E-mail: 13333775907@163.com (AG); m15315561072@163.com (XW)

Affiliation School of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang, China
⨯
Hui Sheng,

Roles Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

Affiliation Department of Radiology, Yantaishan Hospital, Yantai, Shandong, China
⨯
Xueling Wang

Roles Formal analysis, Investigation, Methodology, Project administration, Supervision, Writing – original draft

* E-mail: 13333775907@163.com (AG); m15315561072@163.com (XW)

Affiliation Department of Radiology, Yantaishan Hospital, Yantai, Shandong, China

https://orcid.org/0009-0008-4019-9073

⨯

Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models

Zenglei Liu,
Ailian Gao,
Hui Sheng,
Xueling Wang

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Published: January 28, 2025
https://doi.org/10.1371/journal.pone.0318264

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Vision
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Image analysis
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Diabetic retinopathy
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Imaging techniques
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Diabetes mellitus
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Lesions
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Computational pipelines
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