Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning
- DOI
- 10.21037/qims-22-959
- Published
- 2023-05
- Container
- Quantitative Imaging in Medicine and Surgery
- Publisher
- AME Publishing Company
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21037/qims-22-959,
title = {Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning},
author = {Mateo Gende and Joaquim de Moura and José Ignacio Fernández-Vigo and José María Martínez-de-la-Casa and Julián García-Feijóo and Jorge Novo and Marcos Ortega},
year = {2023},
journal = {Quantitative Imaging in Medicine and Surgery},
doi = {10.21037/qims-22-959},
url = {https://doi.org/10.21037/qims-22-959}
}RIS
TY - JOUR TI - Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning AU - Mateo Gende AU - Joaquim de Moura AU - José Ignacio Fernández-Vigo AU - José María Martínez-de-la-Casa AU - Julián García-Feijóo AU - Jorge Novo AU - Marcos Ortega PY - 2023 JO - Quantitative Imaging in Medicine and Surgery DO - 10.21037/qims-22-959 UR - https://doi.org/10.21037/qims-22-959 ER -
APA
Gende, M., Moura, J. D., Fernández-Vigo, J. I., Martínez-de-la-Casa, J. M., García-Feijóo, J., Novo, J., & Ortega, M. (2023). Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning. Quantitative Imaging in Medicine and Surgery. https://doi.org/10.21037/qims-22-959
Source records
- crossref · retrieved 2026-09-27T09:38:32.392Z