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Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography
We developed a deep learning algorithm for the automatic segmentation and quantification of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) volumes independent of the device used for acquisition. A cascade of neural networks was introduced to include prior i...
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| I publikationen: | Biomed Opt Express |
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| Huvudupphovsmän: | , , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Optical Society of America
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5905905/ https://ncbi.nlm.nih.gov/pubmed/29675301 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.9.001545 |
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