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Deep learning-based single-shot prediction of differential effects of anti-VEGF treatment in patients with diabetic macular edema
Anti-vascular endothelial growth factor (VEGF) agents are widely regarded as the first line of therapy for diabetic macular edema (DME) but are not universally effective. An automatic method that can predict whether a patient is likely to respond to anti-VEGF therapy can avoid unnecessary trial and...
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| Publié dans: | Biomed Opt Express |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Optical Society of America
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7041458/ https://ncbi.nlm.nih.gov/pubmed/32133239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.379150 |
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