Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference36 articles.
1. Salazar-Gonzalez, A., Kaba, D., Li, Y., & Liu, X. (2014). Segmentation of the blood vessels and optic disk in retinal images. IEEE Journal of Biomedical and Health Informatics, 18(6), 1874–1886.
2. Shahid, M., & Taj, I. A. (2018). Robust retinal vessel segmentation using vessel’s location map and Frangi enhancement filter. IET Image Processing, 12(4), 494–501.
3. Soomro, T. A., Khan, T. M., Khan, M. A. U., et al. (2018). Impact of ICA-based image enhancement technique on retinal blood vessels segmentation. IET Image Processing, 6, 3524–3533.
4. Biswal, B., Pooja, T., & Bala Subrahmanyam, N. (2018). Robust retinal blood vessel segmentation using line detectors with multiple masks. IET Image Processing, 12(3), 389–399.
5. Fraz, M. M., et al. (2011). Retinal vessel extraction using first-order derivativeof gaussian and morphological processing. In Advances in Visual Computing. Springer, pp. 410–420.
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