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Predicting Age From Optical Coherence Tomography Scans With Deep Learning
PURPOSE: To assess whether age can be predicted from deep learning analysis of peripapillary spectral-domain optical coherence tomography (SD-OCT) B-scans and to determine the importance of specific retinal areas on the predictions. METHODS: Deep learning (DL) convolutional neural networks were deve...
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| Publicado no: | Transl Vis Sci Technol |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Association for Research in Vision and Ophthalmology
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7804495/ https://ncbi.nlm.nih.gov/pubmed/33510951 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.10.1.12 |
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