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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...
Sparad:
| I publikationen: | Biomed Opt Express |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Optical Society of America
2020
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| Ämnen: | |
| Länkar: | 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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