Active label cleaning for improved dataset quality under resource constraints

Imperfections in data annotation, known as label noise, are detrimental to the training of machine learning models and have a confounding effect on the assessment of model performance. Nevertheless, employing experts to remove label noise by fully re-annotating large datasets is infeasible in resour...

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Detalles Bibliográficos
Autores principales: Bernhardt, Mélanie, Castro, Daniel C., Tanno, Ryutaro, Schwaighofer, Anton, Tezcan, Kerem C., Monteiro, Miguel, Bannur, Shruthi, Lungren, Matthew P., Nori, Aditya, Glocker, Ben, Alvarez-Valle, Javier, Oktay, Ozan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897392/
https://www.ncbi.nlm.nih.gov/pubmed/35246539
http://dx.doi.org/10.1038/s41467-022-28818-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8897392/
https://www.ncbi.nlm.nih.gov/pubmed/35246539
http://dx.doi.org/10.1038/s41467-022-28818-3

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