Flexible architectures for retinal blood vessel segmentation in high-resolution fundus images

Hamza Bendaoudi, Farida Cheriet, Ashley Manraj, Houssem Ben Tahar and J. M. Pierre Langlois

Article (2018)

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Department:	Department of Computer Engineering and Software Engineering
Research Center:	GR2M - Microelectronics and Microsystems Research Group
PolyPublie URL:	https://publications.polymtl.ca/36447/
Journal Title:	Journal of Real-Time Image Processing (vol. 15, no. 1)
Publisher:	Springer
DOI:	10.1007/s11554-016-0661-4
Official URL:	https://doi.org/10.1007/s11554-016-0661-4
Date Deposited:	18 Apr 2023 15:02
Last Modified:	25 Sep 2024 16:20

Cite in APA 7:	Bendaoudi, H., Cheriet, F., Manraj, A., Ben Tahar, H., & Langlois, J. M. P. (2018). Flexible architectures for retinal blood vessel segmentation in high-resolution fundus images. Journal of Real-Time Image Processing, 15(1), 31-42. https://doi.org/10.1007/s11554-016-0661-4
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