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Memory efficient multi-scale line detector architecture for retinal blood vessel segmentation

Hamza Bendaoudi, Farida Cheriet and J. M. Pierre Langlois

Paper (2016)

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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/37132/
Conference Title: Conference on Design and Architectures for Signal and Image Processing (DASIP 2016)
Conference Location: Rennes, France
Conference Date(s): 2016-10-12 - 2016-10-14
Publisher: IEEE
DOI: 10.1109/dasip.2016.7853797
Official URL: https://doi.org/10.1109/dasip.2016.7853797
Date Deposited: 18 Apr 2023 15:04
Last Modified: 05 Apr 2024 11:30
Cite in APA 7: Bendaoudi, H., Cheriet, F., & Langlois, J. M. P. (2016, October). Memory efficient multi-scale line detector architecture for retinal blood vessel segmentation [Paper]. Conference on Design and Architectures for Signal and Image Processing (DASIP 2016), Rennes, France. https://doi.org/10.1109/dasip.2016.7853797

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