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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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| Pubblicato in: | JAMA Ophthalmol |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Association
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7411940/ https://ncbi.nlm.nih.gov/pubmed/32761143 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaophthalmol.2020.2769 |
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