A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images

Karima Garraoui, Ines Rahmany, Salah Dhahri, Hedi Tabia, Désiré Sidibé, Hsouna Zgolli, Nawres Khlifa

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DOI: 10.5220/0013181700003890
Published: 2025-02-23
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Publisher: SCITEPRESS - Science and Technology Publications
Open access: yes

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BibTeX

@article{allodium:10.5220/0013181700003890,
  title = {A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images},
  author = {Karima Garraoui and Ines Rahmany and Salah Dhahri and Hedi Tabia and Désiré Sidibé and Hsouna Zgolli and Nawres Khlifa},
  year = {2025},
  doi = {10.5220/0013181700003890},
  url = {https://doi.org/10.5220/0013181700003890}
}

RIS

TY  - JOUR
TI  - A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images
AU  - Karima Garraoui
AU  - Ines Rahmany
AU  - Salah Dhahri
AU  - Hedi Tabia
AU  - Désiré Sidibé
AU  - Hsouna Zgolli
AU  - Nawres Khlifa
PY  - 2025
DO  - 10.5220/0013181700003890
UR  - https://doi.org/10.5220/0013181700003890
ER  -

APA

Garraoui, K., Rahmany, I., Dhahri, S., Tabia, H., Sidibé, D., Zgolli, H., & Khlifa, N. (2025). A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images. https://doi.org/10.5220/0013181700003890

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hal · retrieved 2026-09-26T21:46:03.961Z