Improved automatic diabetic retinopathy severity classification using deep multimodal fusion of UWF-CFP and OCTA images

El Habib Daho, M., Li, Y., Zeghlache, R., Atse, Y., Le Boité, H., Bonnin, S., Cosette, D., Deman, P., Borderie, L., Lepicard, C., & others

International Workshop on Ophthalmic Medical Image Analysis, 2023 : 11-20

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},
}