Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning

Deep learning has shown remarkable results for image analysis and is expected to aid individual treatment decisions in health care. Treatment recommendations are predictions with an inherently causal interpretation. To use deep learning for these applications in the setting of observational data, de...

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Detalles Bibliográficos
Autores principales: van Amsterdam, W. A. C., Verhoeff, J. J. C., de Jong, P. A., Leiner, T., Eijkemans, M. J. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904461/
https://www.ncbi.nlm.nih.gov/pubmed/31840093
http://dx.doi.org/10.1038/s41746-019-0194-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904461/
https://www.ncbi.nlm.nih.gov/pubmed/31840093
http://dx.doi.org/10.1038/s41746-019-0194-x

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