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A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography
PURPOSE: To provide a self-adaptive deep learning (DL) method to automatically detect the eye laterality based on fundus images. METHODS: A total of 18394 fundus images with real-world eye laterality labels were used for model development and internal validation. A separate dataset of 2000 fundus im...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6752776/ https://www.ncbi.nlm.nih.gov/pubmed/31536537 http://dx.doi.org/10.1371/journal.pone.0222025 |