Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images
Abstract
Introduction
Methods
Results
Discussion
Conclusions
Acknowledgments
Citation
El Habib Daho, M., Li, Y., Zeghlache, R., Atse, Y., Le Boité, H., Bonnin, S., Cosette, D., Deman, P., Borderie, L., Lepicard, C., and others (2023). Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images. International Workshop on Ophthalmic Medical Image Analysis.
@inproceedings{el2023improved, title={Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images}, author={El Habib Daho, Mostafa and Li, Yihao and Zeghlache, Rachid and Atse, Yapo Cedric and Le Boité, Hugo and Bonnin, Sophie and Cosette, Deborah and Deman, Pierre and Borderie, Laurent and Lepicard, Capucine and others}, booktitle={International Workshop on Ophthalmic Medical Image Analysis}, pages={11--20}, year={2023}, organization={Springer Nature Switzerland Cham}, }