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ELHnet: a convolutional neural network for classifying cochlear endolymphatic hydrops imaged with optical coherence tomography
Detection of endolymphatic hydrops is important for diagnosing Meniere’s disease, and can be performed non-invasively using optical coherence tomography (OCT) in animal models as well as potentially in the clinic. Here, we developed ELHnet, a convolutional neural network to classify endolymphatic hy...
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| Publicado no: | Biomed Opt Express |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Optical Society of America
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5654801/ https://ncbi.nlm.nih.gov/pubmed/29082086 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.004579 |
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