Hamza Bendaoudi, Farida Cheriet
and J. M. Pierre Langlois
Paper (2016)
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| Department: | Department of Computer Engineering and Software Engineering |
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| Research Center: | GR2M - Microelectronics and Microsystems Research Group |
| ISBN: | 9791092279153 |
| 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: | 08 Apr 2025 12:22 |
| 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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