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:	25 Sep 2024 16:21

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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