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Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
Despite advances in artificial intelligence (AI), its application in medical imaging has been burdened and limited by expert-generated labels. We used images from optical coherence tomography angiography (OCTA), a relatively new imaging modality that measures retinal blood flow, to train an AI algor...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6450899/ https://ncbi.nlm.nih.gov/pubmed/30952891 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-42042-y |
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