Analysis of Contrast and Luminous Enhancement Algorithms on Colour Retinal Fundus Images
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-96302-6_38
Reference20 articles.
1. Lecture Notes in Computer Science;V Buhrmester,2019
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3. Sule, O., Viriri, S.: Enhanced convolutional neural networks for segmentation of retinal blood vessel image. In: 2020 Conference on Information Communications Technology and Society (ICTAS), pp. 1–6. IEEE (2020)
4. Lian, S., Li, L., Lian, G., Xiao, X., Luo, Z., Li, S.: A global and local enhanced residual U-Net for accurate retinal vessel segmentation IEEE/ACM Trans. Comput. Biol. Bioinf. 18(3), 852–862 (2021). https://doi.org/10.1109/TCBB.2019.2917188
5. Palanisamy, G., Shankar, N.B., Ponnusamy, P., Gopi, V.P.: A hybrid feature preservation technique based on luminosity and edge based contrast enhancement in color fundus images. Biocybern. Biomed. Eng., 752–763 (2020)
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