Zahra Sobhaninia
Determination of Foveal Avascular Zone Parameters Using a New Location-Aware Deep-Learning Method.
Sobhaninia, Zahra; Danesh, Hajar; Kafieh, Rahele; Balaji, J. Jothi; Lakshminarayanan, Vasudevan
Authors
Hajar Danesh
Dr Raheleh Kafieh raheleh.kafieh@durham.ac.uk
Assistant Professor
J. Jothi Balaji
Vasudevan Lakshminarayanan
Contributors
ME Zelinski
Editor
TM Taha
Editor
J Howe
Editor
Citation
Sobhaninia, Z., Danesh, H., Kafieh, R., Balaji, J. J., & Lakshminarayanan, V. (2021, December). Determination of Foveal Avascular Zone Parameters Using a New Location-Aware Deep-Learning Method. Presented at APPLICATIONS OF MACHINE LEARNING 2021 SPIE
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | APPLICATIONS OF MACHINE LEARNING 2021 SPIE |
Publication Date | 2021 |
Deposit Date | Jul 12, 2022 |
Volume | 11843 |
Series Title | Proceedings of SPIE |
DOI | https://doi.org/10.1117/12.2594152 |
Public URL | https://durham-repository.worktribe.com/output/1136574 |
You might also like
Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review.
(2024)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search