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AV-Net: deep learning for fully automated artery-vein classification in optical coherence tomography angiography
This study is to demonstrate deep learning for automated artery-vein (AV) classification in optical coherence tomography angiography (OCTA). The AV-Net, a fully convolutional network (FCN) based on modified U-shaped CNN architecture, incorporates enface OCT and OCTA to differentiate arteries and vei...
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| Publicado no: | Biomed Opt Express |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7510886/ https://ncbi.nlm.nih.gov/pubmed/33014612 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.399514 |
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