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Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset
The reliability of machine learning models can be compromised when trained on low quality data. Many large-scale medical imaging datasets contain low quality labels extracted from sources such as medical reports. Moreover, images within a dataset may have heterogeneous quality due to artifacts and b...
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| Publié dans: | Sci Rep |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8052417/ https://ncbi.nlm.nih.gov/pubmed/33863957 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-87762-2 |
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