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Predicting sex from retinal fundus photographs using automated deep learning
Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. Herein we present the development of a deep learning model by clinicians without coding, which predicts reported sex from retinal fundus photographs. A model was...
Guardat en:
| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8119673/ https://ncbi.nlm.nih.gov/pubmed/33986429 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-89743-x |
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