Collaborative training of medical artificial intelligence models with non-uniform labels

Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep learning (DL). However, building powerful and robust DL models requires training with large multi-party datasets. While multiple stakeholders have provided publicly available datasets, the ways in whic...

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Detalles Bibliográficos
Autores principales: Tayebi Arasteh, Soroosh, Isfort, Peter, Saehn, Marwin, Mueller-Franzes, Gustav, Khader, Firas, Kather, Jakob Nikolas, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102221/
https://www.ncbi.nlm.nih.gov/pubmed/37055456
http://dx.doi.org/10.1038/s41598-023-33303-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102221/
https://www.ncbi.nlm.nih.gov/pubmed/37055456
http://dx.doi.org/10.1038/s41598-023-33303-y

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