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Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
In tasks involving the interpretation of medical images, suitably trained machine-learning models often exceed the performance of medical experts. Yet such a high-level of performance typically requires that the models be trained with relevant datasets that have been painstakingly annotated by exper...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9792370/ https://www.ncbi.nlm.nih.gov/pubmed/36109605 http://dx.doi.org/10.1038/s41551-022-00936-9 |