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Development and validation of a pixel wise deep learning model to detect cataract on swept-source optical coherence tomography images
PURPOSE: The diagnosis of cataract is mostly clinical and there is a lack of objective and specific tool to detect and grade it automatically. The goal of this study was to develop and validate a deep learning model to detect and localize cataract on Swept Source Optical Coherance Tomography (SS-OCT...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732477/ https://www.ncbi.nlm.nih.gov/pubmed/36229338 http://dx.doi.org/10.1016/j.optom.2022.08.003 |