Verfügbarkeit: Predicting mammographic density with linear ultrasound transducers

Predicting mammographic density with linear ultrasound transducers:

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Bibliographische Detailangaben
Beteiligte Personen:	Behrens, Annika (VerfasserIn), Fasching, Peter A. (VerfasserIn), Schwenke, Eva (VerfasserIn), Gass, Paul (VerfasserIn), Häberle, Lothar (VerfasserIn), Heindl, Felix (VerfasserIn), Heusinger, Katharina (VerfasserIn), Lotz, Laura (VerfasserIn), Lubrich, Hannah (VerfasserIn), Preuß, Caroline (VerfasserIn), Schneider, Michael O. (VerfasserIn), Schulz-Wendtland, Rüdiger (VerfasserIn), Stumpfe, Florian M. (VerfasserIn), Uder, Michael (VerfasserIn), Wunderle, Marius (VerfasserIn), Zahn, Anna L. (VerfasserIn), Hack, Carolin C. (VerfasserIn), Beckmann, Matthias W. (VerfasserIn), Emons, Julius (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023
Schlagwörter:	Public health. Diseases. Internal medicine. Surgery. Oncology. Medicine—Research. Biology—Research. Public Health. Internal Medicine. Biomedical Research.
Links:	https://open.fau.de/handle/openfau/31585 https://d-nb.info/1318372488/34
Umfang:	1 Online-Ressource

Internformat

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Datensatz im Suchindex

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author	Behrens, Annika Fasching, Peter A. Schwenke, Eva Gass, Paul Häberle, Lothar Heindl, Felix Heusinger, Katharina Lotz, Laura Lubrich, Hannah Preuß, Caroline Schneider, Michael O. Schulz-Wendtland, Rüdiger Stumpfe, Florian M. Uder, Michael Wunderle, Marius Zahn, Anna L. Hack, Carolin C. Beckmann, Matthias W. Emons, Julius
author_facet	Behrens, Annika Fasching, Peter A. Schwenke, Eva Gass, Paul Häberle, Lothar Heindl, Felix Heusinger, Katharina Lotz, Laura Lubrich, Hannah Preuß, Caroline Schneider, Michael O. Schulz-Wendtland, Rüdiger Stumpfe, Florian M. Uder, Michael Wunderle, Marius Zahn, Anna L. Hack, Carolin C. Beckmann, Matthias W. Emons, Julius
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spelling	Behrens, Annika Verfasser aut Predicting mammographic density with linear ultrasound transducers Annika Behrens, Peter A. Fasching, Eva Schwenke, Paul Gass, Lothar Häberle, Felix Heindl, Katharina Heusinger, Laura Lotz, Hannah Lubrich, Caroline Preuß, Michael O. Schneider, Rüdiger Schulz-Wendtland, Florian M. Stumpfe, Michael Uder, Marius Wunderle, Anna L. Zahn, Carolin C. Hack, Matthias W. Beckmann, Julius Emons Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2023 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Public health. Diseases. Internal medicine. Surgery. Oncology. Medicine—Research. Biology—Research. Public Health. Internal Medicine. Biomedical Research. Fasching, Peter A. Verfasser aut Schwenke, Eva Verfasser aut Gass, Paul Verfasser aut Häberle, Lothar Verfasser aut Heindl, Felix Verfasser aut Heusinger, Katharina Verfasser aut Lotz, Laura Verfasser aut Lubrich, Hannah Verfasser aut Preuß, Caroline Verfasser aut Schneider, Michael O. Verfasser aut Schulz-Wendtland, Rüdiger Verfasser aut Stumpfe, Florian M. Verfasser aut Uder, Michael Verfasser aut Wunderle, Marius Verfasser aut Zahn, Anna L. Verfasser aut Hack, Carolin C. Verfasser aut Beckmann, Matthias W. Verfasser aut Emons, Julius Verfasser aut Sonderdruck aus European Journal of Medical Research Vol. 28 (2023) 10.1186/s40001-023-01327-9 https://open.fau.de/handle/openfau/31585 Verlag kostenfrei Volltext https://d-nb.info/1318372488/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,26005 20240206 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,89859 20240206 DE-101 https://d-nb.info/provenance/plan#emasg 3\p npi 20240205 DE-101 https://d-nb.info/provenance/plan#npi
spellingShingle	Behrens, Annika Fasching, Peter A. Schwenke, Eva Gass, Paul Häberle, Lothar Heindl, Felix Heusinger, Katharina Lotz, Laura Lubrich, Hannah Preuß, Caroline Schneider, Michael O. Schulz-Wendtland, Rüdiger Stumpfe, Florian M. Uder, Michael Wunderle, Marius Zahn, Anna L. Hack, Carolin C. Beckmann, Matthias W. Emons, Julius Predicting mammographic density with linear ultrasound transducers Public health. Diseases. Internal medicine. Surgery. Oncology. Medicine—Research. Biology—Research.
title	Predicting mammographic density with linear ultrasound transducers
title_auth	Predicting mammographic density with linear ultrasound transducers
title_exact_search	Predicting mammographic density with linear ultrasound transducers
title_full	Predicting mammographic density with linear ultrasound transducers Annika Behrens, Peter A. Fasching, Eva Schwenke, Paul Gass, Lothar Häberle, Felix Heindl, Katharina Heusinger, Laura Lotz, Hannah Lubrich, Caroline Preuß, Michael O. Schneider, Rüdiger Schulz-Wendtland, Florian M. Stumpfe, Michael Uder, Marius Wunderle, Anna L. Zahn, Carolin C. Hack, Matthias W. Beckmann, Julius Emons
title_fullStr	Predicting mammographic density with linear ultrasound transducers Annika Behrens, Peter A. Fasching, Eva Schwenke, Paul Gass, Lothar Häberle, Felix Heindl, Katharina Heusinger, Laura Lotz, Hannah Lubrich, Caroline Preuß, Michael O. Schneider, Rüdiger Schulz-Wendtland, Florian M. Stumpfe, Michael Uder, Marius Wunderle, Anna L. Zahn, Carolin C. Hack, Matthias W. Beckmann, Julius Emons
title_full_unstemmed	Predicting mammographic density with linear ultrasound transducers Annika Behrens, Peter A. Fasching, Eva Schwenke, Paul Gass, Lothar Häberle, Felix Heindl, Katharina Heusinger, Laura Lotz, Hannah Lubrich, Caroline Preuß, Michael O. Schneider, Rüdiger Schulz-Wendtland, Florian M. Stumpfe, Michael Uder, Marius Wunderle, Anna L. Zahn, Carolin C. Hack, Matthias W. Beckmann, Julius Emons
title_short	Predicting mammographic density with linear ultrasound transducers
title_sort	predicting mammographic density with linear ultrasound transducers
topic	Public health. Diseases. Internal medicine. Surgery. Oncology. Medicine—Research. Biology—Research.
topic_facet	Public health. Diseases. Internal medicine. Surgery. Oncology. Medicine—Research. Biology—Research.
url	https://open.fau.de/handle/openfau/31585 https://d-nb.info/1318372488/34
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