Model-to-Data Approach for Deep Learning in Optical Coherence Tomography Intraretinal Fluid Segmentation

IMPORTANCE: Amid an explosion of interest in deep learning in medicine, including within ophthalmology, concerns regarding data privacy, security, and sharing are of increasing importance. A model-to-data approach, in which the model itself is transferred rather than data, can circumvent many of the...

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Detalles Bibliográficos
Autores principales: Mehta, Nihaal, Lee, Cecilia S., Mendonça, Luísa S. M., Raza, Khadija, Braun, Phillip X., Duker, Jay S., Waheed, Nadia K., Lee, Aaron Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2020
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411940/
https://www.ncbi.nlm.nih.gov/pubmed/32761143
http://dx.doi.org/10.1001/jamaophthalmol.2020.2769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411940/
https://www.ncbi.nlm.nih.gov/pubmed/32761143
http://dx.doi.org/10.1001/jamaophthalmol.2020.2769

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