Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation.
- DOI
- 10.1016/j.cmpb.2022.107306
- Published
- 2023 Feb
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2022.107306,
title = {Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation.},
author = {Huang K and Li M and Yu J and Miao J and Hu Z and Yuan S and Chen Q},
year = {2023},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2022.107306},
url = {https://doi.org/10.1016/j.cmpb.2022.107306}
}RIS
TY - JOUR TI - Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation. AU - Huang K AU - Li M AU - Yu J AU - Miao J AU - Hu Z AU - Yuan S AU - Chen Q PY - 2023 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2022.107306 UR - https://doi.org/10.1016/j.cmpb.2022.107306 ER -
APA
K, H., M, L., J, Y., J, M., Z, H., S, Y., & Q, C. (2023). Lesion-aware generative adversarial networks for color fundus image to fundus fluorescein angiography translation.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2022.107306
Source records
- pubmed · retrieved 2026-09-26T12:22:24.345Z
- europe-pmc · retrieved 2026-09-26T12:22:24.625Z