Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging-Reference-Cited by-同舟云学术

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

Published:2023-06-08 Issue:6 Volume:7 Page:756-779
ISSN:2157-846X
Container-title:Nature Biomedical Engineering
language:en
Short-container-title:Nat. Biomed. Eng

Author:

Azizi Shekoofeh^ORCID,Culp Laura,Freyberg Jan,Mustafa Basil,Baur Sebastien,Kornblith Simon,Chen Ting,Tomasev Nenad,Mitrović Jovana,Strachan Patricia,Mahdavi S. Sara,Wulczyn Ellery,Babenko Boris^ORCID,Walker Megan,Loh Aaron,Chen Po-Hsuan Cameron,Liu Yuan,Bavishi Pinal,McKinney Scott Mayer,Winkens Jim,Roy Abhijit Guha,Beaver Zach,Ryan Fiona,Krogue Justin^ORCID,Etemadi Mozziyar,Telang Umesh^ORCID,Liu Yun^ORCID,Peng Lily,Corrado Greg S.,Webster Dale R.^ORCID,Fleet David,Hinton Geoffrey,Houlsby Neil,Karthikesalingam Alan,Norouzi Mohammad,Natarajan Vivek

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

https://www.nature.com/articles/s41551-023-01049-7.pdf

Reference188 articles.

1. LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).

2. Yala, A., Lehman, C., Schuster, T., Portnoi, T. & Barzilay, R. A deep learning mammography-based model for improved breast cancer risk prediction. Radiology 292, 60–66 (2019).

3. Wu, N. et al. Deep neural networks improve radiologists’ performance in breast cancer screening. IEEE Trans. Med. Imaging 39, 1184–1194 (2019).

4. McKinney, S. M. et al. International evaluation of an AI system for breast cancer screening. Nature 577, 89–94 (2020).

5. Rajpurkar, P. et al. Deep learning for chest radiograph diagnosis: a retrospective comparison of the CheXNeXt algorithm to practicing radiologists. PLoS Med. 15, e1002686 (2018).

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