A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History
- DOI
- 10.1016/j.ophtha.2020.02.009
- Published
- 2020-08
- Container
- Ophthalmology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ophtha.2020.02.009,
title = {A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History},
author = {Bart Liefers and Johanna M. Colijn and Cristina González-Gonzalo and Timo Verzijden and Jie Jin Wang and Nichole Joachim and Paul Mitchell and Carel B. Hoyng and Bram van Ginneken and Caroline C.W. Klaver and Clara I. Sánchez},
year = {2020},
journal = {Ophthalmology},
doi = {10.1016/j.ophtha.2020.02.009},
url = {https://doi.org/10.1016/j.ophtha.2020.02.009}
}RIS
TY - JOUR TI - A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History AU - Bart Liefers AU - Johanna M. Colijn AU - Cristina González-Gonzalo AU - Timo Verzijden AU - Jie Jin Wang AU - Nichole Joachim AU - Paul Mitchell AU - Carel B. Hoyng AU - Bram van Ginneken AU - Caroline C.W. Klaver AU - Clara I. Sánchez PY - 2020 JO - Ophthalmology DO - 10.1016/j.ophtha.2020.02.009 UR - https://doi.org/10.1016/j.ophtha.2020.02.009 ER -
APA
Liefers, B., Colijn, J. M., González-Gonzalo, C., Verzijden, T., Wang, J. J., Joachim, N., Mitchell, P., Hoyng, C. B., Ginneken, B. V., Klaver, C. C., & Sánchez, C. I. (2020). A Deep Learning Model for Segmentation of Geographic Atrophy to Study Its Long-Term Natural History. Ophthalmology. https://doi.org/10.1016/j.ophtha.2020.02.009
Source records
- crossref · retrieved 2026-09-25T11:49:15.333Z