Residual attention UNet GAN Model for enhancing the intelligent agents in retinal image analysis
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11761-024-00415-w.pdf
Reference43 articles.
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3. Miri M et al (2017) A comprehensive study of retinal vessel classification methods in fundus images. J Med Signals Sens 7(2):59–70
4. Ilesanmi AE et al (2023) A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks. Healthcare Anal 4:100261. https://doi.org/10.1016/j.health.2023.100261
5. Fraz MM et al (2012) Blood vessel segmentation methodologies in retinal images—A survey. Comput Methods Programs Biomed 108(1):407–433. https://doi.org/10.1016/j.cmpb.2012.03.009
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