Causality matters in medical imaging
Scarcity of high-quality annotated data and mismatch between the development dataset and the target environment are two of the main challenges in developing predictive tools from medical imaging. In this Perspective, the authors show how causal reasoning can shed new light on these challenges.
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2020
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oai:doaj.org-article:b2fa6e46634b4c8082ab8e17c7adf4562021-12-02T17:55:14ZCausality matters in medical imaging10.1038/s41467-020-17478-w2041-1723https://doaj.org/article/b2fa6e46634b4c8082ab8e17c7adf4562020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17478-whttps://doaj.org/toc/2041-1723Scarcity of high-quality annotated data and mismatch between the development dataset and the target environment are two of the main challenges in developing predictive tools from medical imaging. In this Perspective, the authors show how causal reasoning can shed new light on these challenges.Daniel C. CastroIan WalkerBen GlockerNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020) |
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Science Q Daniel C. Castro Ian Walker Ben Glocker Causality matters in medical imaging |
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Scarcity of high-quality annotated data and mismatch between the development dataset and the target environment are two of the main challenges in developing predictive tools from medical imaging. In this Perspective, the authors show how causal reasoning can shed new light on these challenges. |
format |
article |
author |
Daniel C. Castro Ian Walker Ben Glocker |
author_facet |
Daniel C. Castro Ian Walker Ben Glocker |
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Daniel C. Castro |
title |
Causality matters in medical imaging |
title_short |
Causality matters in medical imaging |
title_full |
Causality matters in medical imaging |
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Causality matters in medical imaging |
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Causality matters in medical imaging |
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causality matters in medical imaging |
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Nature Portfolio |
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2020 |
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https://doaj.org/article/b2fa6e46634b4c8082ab8e17c7adf456 |
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AT danielccastro causalitymattersinmedicalimaging AT ianwalker causalitymattersinmedicalimaging AT benglocker causalitymattersinmedicalimaging |
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1718379129003311104 |