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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: 05 Apr 2024 11:29
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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