Lama Séoud
, Thomas Hurtut, Jihed Chelbi, Farida Cheriet and J. M. Pierre Langlois
Article (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 |
| PolyPublie URL: | https://publications.polymtl.ca/35151/ |
| Journal Title: | IEEE Transactions on Medical Imaging (vol. 35, no. 4) |
| Publisher: | IEEE |
| DOI: | 10.1109/tmi.2015.2509785 |
| Official URL: | https://doi.org/10.1109/tmi.2015.2509785 |
| Date Deposited: | 18 Apr 2023 15:06 |
| Last Modified: | 08 Apr 2025 06:56 |
| Cite in APA 7: | Séoud, L., Hurtut, T., Chelbi, J., Cheriet, F., & Langlois, J. M. P. (2016). Red lesion detection using dynamic shape features for diabetic retinopathy screening. IEEE Transactions on Medical Imaging, 35(4), 1116-1126. https://doi.org/10.1109/tmi.2015.2509785 |
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