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Automatic Segmentation in Multiple OCT Layers For Stargardt Disease Characterization Via Deep Learning
PURPOSE: This study sought to perform automated segmentation of 11 retinal layers and Stargardt-associated features on spectral-domain optical coherence tomography (SD-OCT) images and to analyze differences between normal eyes and eyes diagnosed with Stargardt disease. METHODS: Automated segmentatio...
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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/PMC8083069/ https://ncbi.nlm.nih.gov/pubmed/34004000 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.10.4.24 |
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