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Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses
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Stephan Ellmann ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: stephan.ellmann@uk-erlangen.de
Affiliation Department of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
⨯ - Evelyn Wenkel,
- Matthias Dietzel,
- Christian Bielowski,
- Sulaiman Vesal,
- Andreas Maier,
- Matthias Hammon,
- Rolf Janka,
- Peter A. Fasching,
- Matthias W. Beckmann,
- Rüdiger Schulz Wendtland,
- Michael Uder,
- Tobias Bäuerle
http://orcid.org/0000-0003-2737-5526
Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses
- Stephan Ellmann,
- Evelyn Wenkel,
- Matthias Dietzel,
- Christian Bielowski,
- Sulaiman Vesal,
- Andreas Maier,
- Matthias Hammon,
- Rolf Janka,
- Peter A. Fasching,
- Matthias W. Beckmann
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- Published: January 30, 2020
- https://doi.org/10.1371/journal.pone.0228446