Bilal Khomri, Argyrios Christodoulidis, Leila Djerou, Mohamed Chaouki Babahenini and Farida Cheriet
Article (2018)
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| Department: | Department of Computer Engineering and Software Engineering |
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| Research Center: | LIV4D - Laboratoire d'imagerie et de vision 4D |
| PolyPublie URL: | https://publications.polymtl.ca/41902/ |
| Journal Title: | IET Image Processing (vol. 12, no. 12) |
| Publisher: | IET |
| DOI: | 10.1049/iet-ipr.2018.5425 |
| Official URL: | https://doi.org/10.1049/iet-ipr.2018.5425 |
| Date Deposited: | 18 Apr 2023 15:03 |
| Last Modified: | 01 Oct 2024 16:13 |
| Cite in APA 7: | Khomri, B., Christodoulidis, A., Djerou, L., Babahenini, M. C., & Cheriet, F. (2018). Retinal blood vessel segmentation using the elite-guided multi-objective artificial bee colony algorithm. IET Image Processing, 12(12), 2163-2171. https://doi.org/10.1049/iet-ipr.2018.5425 |
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