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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Detalles Bibliográficos
Autores principales: Tang, Siyi, Ghorbani, Amirata, Yamashita, Rikiya, Rehman, Sameer, Dunnmon, Jared A., Zou, James, Rubin, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
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

Internet

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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