Lama Séoud, Timothee Faucon, Thomas Hurtut
, Jihed Chelbi, Farida Cheriet
and J. M. Pierre Langlois
Paper (2014)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
---|---|
Research Center: | GR2M - Microelectronics and Microsystems Research Group |
PolyPublie URL: | https://publications.polymtl.ca/11585/ |
Conference Title: | 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014) |
Conference Location: | Beijing, China |
Conference Date(s): | 2014-04-29 - 2014-05-02 |
Publisher: | IEEE |
DOI: | 10.1109/isbi.2014.6867819 |
Official URL: | https://doi.org/10.1109/isbi.2014.6867819 |
Date Deposited: | 18 Apr 2023 15:08 |
Last Modified: | 25 Sep 2024 15:48 |
Cite in APA 7: | Séoud, L., Faucon, T., Hurtut, T., Chelbi, J., Cheriet, F., & Langlois, J. M. P. (2014, April). Automatic detection of microaneurysms and haemorrhages in fundus images using dynamic shape features [Paper]. 11th IEEE International Symposium on Biomedical Imaging (ISBI 2014), Beijing, China. https://doi.org/10.1109/isbi.2014.6867819 |
---|---|
Statistics
Dimensions