Implementation of machine learning into clinical breast MRI: potential for objective and accurate decision-making in suspicious breast masses
Gespeichert in:
| Beteiligte Personen: | , , , , , , , , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2020
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| Schlagwörter: | |
| Links: | https://doi.org/10.1371/journal.pone.0228446 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-142771 https://d-nb.info/1215343493/34 https://open.fau.de/handle/openfau/14277 |
| Umfang: | 1 Online-Ressource |
| DOI: | 10.1371/journal.pone.0228446 |
Internformat
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| 653 | |a Machine learning algorithms | ||
| 653 | |a Breast cancer | ||
| 653 | |a Biopsy | ||
| 653 | |a Histology | ||
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| 700 | 1 | |a Dietzel, Matthias |e Verfasser |4 aut | |
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| 700 | 1 | |a Vesal, Sulaiman |e Verfasser |4 aut | |
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Datensatz im Suchindex
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| author | Ellmann, Stephan Wenkel, Evelyn Dietzel, Matthias Bielowski, Christian Vesal, Sulaiman Maier, Andreas Hammon, Matthias Janka, Rolf Fasching, Peter A. Beckmann, Matthias W. Wendtland, Rüdiger Schulz Uder, Michael Bäuerle, Tobias |
| author_facet | Ellmann, Stephan Wenkel, Evelyn Dietzel, Matthias Bielowski, Christian Vesal, Sulaiman Maier, Andreas Hammon, Matthias Janka, Rolf Fasching, Peter A. Beckmann, Matthias W. Wendtland, Rüdiger Schulz Uder, Michael Bäuerle, Tobias |
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| author_sort | Ellmann, Stephan |
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| bvnumber | BV046880334 |
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| ctrlnum | (OCoLC)1197702223 (DE-599)DNB1215343493 |
| discipline | Medizin |
| doi_str_mv | 10.1371/journal.pone.0228446 |
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| spelling | Ellmann, Stephan Verfasser aut 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, Rüdiger Schulz Wendtland, Michael Uder, Tobias Bäuerle Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2020 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Magnetic resonance imaging Lesions Malignant tumors Cancer detection and diagnosis Machine learning algorithms Breast cancer Biopsy Histology Wenkel, Evelyn Verfasser aut Dietzel, Matthias Verfasser aut Bielowski, Christian Verfasser aut Vesal, Sulaiman Verfasser aut Maier, Andreas Verfasser aut Hammon, Matthias Verfasser aut Janka, Rolf Verfasser aut Fasching, Peter A. Verfasser aut Beckmann, Matthias W. Verfasser aut Wendtland, Rüdiger Schulz Verfasser aut Uder, Michael Verfasser aut Bäuerle, Tobias Verfasser aut Sonderdruck aus PLoS ONE Vol. 15 (2020) 10.1371/journal.pone.0228446 https://doi.org/10.1371/journal.pone.0228446 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-142771 Resolving-System kostenfrei Volltext https://d-nb.info/1215343493/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/14277 Verlag kostenfrei |
| spellingShingle | Ellmann, Stephan Wenkel, Evelyn Dietzel, Matthias Bielowski, Christian Vesal, Sulaiman Maier, Andreas Hammon, Matthias Janka, Rolf Fasching, Peter A. Beckmann, Matthias W. Wendtland, Rüdiger Schulz Uder, Michael Bäuerle, Tobias Implementation of machine learning into clinical breast MRI potential for objective and accurate decision-making in suspicious breast masses |
| title | Implementation of machine learning into clinical breast MRI potential for objective and accurate decision-making in suspicious breast masses |
| title_auth | Implementation of machine learning into clinical breast MRI potential for objective and accurate decision-making in suspicious breast masses |
| title_exact_search | Implementation of machine learning into clinical breast MRI potential for objective and accurate decision-making in suspicious breast masses |
| title_full | 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, Rüdiger Schulz Wendtland, Michael Uder, Tobias Bäuerle |
| title_fullStr | 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, Rüdiger Schulz Wendtland, Michael Uder, Tobias Bäuerle |
| title_full_unstemmed | 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, Rüdiger Schulz Wendtland, Michael Uder, Tobias Bäuerle |
| title_short | Implementation of machine learning into clinical breast MRI |
| title_sort | implementation of machine learning into clinical breast mri potential for objective and accurate decision making in suspicious breast masses |
| title_sub | potential for objective and accurate decision-making in suspicious breast masses |
| url | https://doi.org/10.1371/journal.pone.0228446 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-142771 https://d-nb.info/1215343493/34 https://open.fau.de/handle/openfau/14277 |
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