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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...
Autores principales: | Tang, Siyi, Ghorbani, Amirata, Yamashita, Rikiya, Rehman, Sameer, Dunnmon, Jared A., Zou, James, Rubin, Daniel L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052417/ https://www.ncbi.nlm.nih.gov/pubmed/33863957 http://dx.doi.org/10.1038/s41598-021-87762-2 |
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