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Assessment of patient specific information in the wild on fundus photography and optical coherence tomography
In this paper we analyse the performance of machine learning methods in predicting patient information such as age or sex solely from retinal imaging modalities in a heterogeneous clinical population. Our dataset consists of N = 135,667 fundus images and N = 85,536 volumetric OCT scans. Deep learnin...
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| Publicado no: | Sci Rep |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8060417/ https://ncbi.nlm.nih.gov/pubmed/33883573 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-86577-5 |
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