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Automated segmentation of dermal fillers in OCT images of mice using convolutional neural networks
We present a system for automatic determination of the intradermal volume of hydrogels based on optical coherence tomography (OCT) and deep learning. Volumetric image data was acquired using a custom-built OCT prototype that employs an akinetic swept laser at ~1310 nm with a bandwidth of 87 nm, prov...
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| Veröffentlicht in: | Biomed Opt Express |
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| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Optical Society of America
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6420291/ https://ncbi.nlm.nih.gov/pubmed/30891348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.001315 |
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