Cargando…
Federated Learning in Ocular Imaging: Current Progress and Future Direction
Advances in artificial intelligence deep learning (DL) have made tremendous impacts on the field of ocular imaging over the last few years. Specifically, DL has been utilised to detect and classify various ocular diseases on retinal photographs, optical coherence tomography (OCT) images, and OCT-ang...
Autores principales: | Nguyen, Truong X., Ran, An Ran, Hu, Xiaoyan, Yang, Dawei, Jiang, Meirui, Dou, Qi, Cheung, Carol Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689273/ https://www.ncbi.nlm.nih.gov/pubmed/36428895 http://dx.doi.org/10.3390/diagnostics12112835 |
Ejemplares similares
-
Deep Learning in Optical Coherence Tomography Angiography: Current Progress, Challenges, and Future Directions
por: Yang, Dawei, et al.
Publicado: (2023) -
Ocular Tissue Engineering: Current and Future Directions
por: Karamichos, D.
Publicado: (2015) -
Challenges and future directions of secure federated learning: a survey
por: Zhang, Kaiyue, et al.
Publicado: (2021) -
Nutraceuticals for the Treatment of IBD: Current Progress and Future Directions
por: Ban, Quan-Yao, et al.
Publicado: (2022) -
Limitations and Future Aspects of Communication Costs in Federated Learning: A Survey
por: Asad, Muhammad, et al.
Publicado: (2023)