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Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of deep learning (DL) anterior segment optical coherence tomography (AS-OCT) as a plateau iris prediction model. DESIGN: We used a cross-sectional study of the development and validation of the DL system. METHODS: We condu...
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| Publicat a: | Transl Vis Sci Technol |
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| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Association for Research in Vision and Ophthalmology
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7794268/ https://ncbi.nlm.nih.gov/pubmed/33505774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.10.1.7 |
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