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RetinaDA: a diverse dataset for domain adaptation in retinal vessel segmentation

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References

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Acknowledgements

This work was supported by the Shuangchuang Ph.D award, Jiangsu, China (No. JSSCBS20210804), the National Natural Science Foundation of China (Grant No. 62201460), and the Basic Research Programs of Taicang (No. TC2023JC22).

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Authors and Affiliations

  1. School of Information Technology, Suzhou Institute of Trade and Commerce, Suzhou, 215009, China

    Fei Guo, Shaojia Yang, Wenjuan Li, Aihong Lu, Rongzhen Feng & Wu Fang

  2. School of Software, Northwestern Polytechnical University, Xi’an, 710129, China

    Rui Ge & Qiangguo Jin

  3. Yangtze River Delta Research Institute, Northwestern Polytechnical University, Suzhou, 215400, China

    Qiangguo Jin

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  1. Fei Guo
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Correspondence to Qiangguo Jin.

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Guo, F., Yang, S., Ge, R. et al. RetinaDA: a diverse dataset for domain adaptation in retinal vessel segmentation. Front. Comput. Sci. 19, 198917 (2025). https://doi.org/10.1007/s11704-024-41114-1

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  • DOI: https://doi.org/10.1007/s11704-024-41114-1