Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI (Deutsch)
- Neue Suche nach: Geißler, Kai
- Weitere Informationen zu Geißler, Kai:
- https://orcid.org/https://orcid.org/0009-0008-9709-0335
- Neue Suche nach: Wenzel, Markus
- Weitere Informationen zu Wenzel, Markus:
- https://orcid.org/https://orcid.org/0009-0007-4078-9121
- Neue Suche nach: Diekmann, Susanne
- Neue Suche nach: von Busch, Heinrich
- Weitere Informationen zu von Busch, Heinrich:
- https://orcid.org/https://orcid.org/0000-0003-0469-1622
- Neue Suche nach: Grimm, Robert
- Weitere Informationen zu Grimm, Robert:
- https://orcid.org/https://orcid.org/0000-0002-1233-8215
- Neue Suche nach: Meine, Hans
- Weitere Informationen zu Meine, Hans:
- https://orcid.org/https://orcid.org/0000-0002-7557-5007
- Neue Suche nach: Maier, Andreas
- Weitere Informationen zu Maier, Andreas:
- https://orcid.org/https://orcid.org/0000-0002-9550-5284
- Neue Suche nach: Deserno, Thomas M.
- Weitere Informationen zu Deserno, Thomas M.:
- https://orcid.org/https://orcid.org/0000-0003-3492-4407
- Neue Suche nach: Handels, Heinz
- Weitere Informationen zu Handels, Heinz:
- https://orcid.org/https://orcid.org/0000-0002-3499-4328
- Neue Suche nach: Maier-Hein, Klaus
- Weitere Informationen zu Maier-Hein, Klaus:
- https://orcid.org/https://orcid.org/0000-0002-6626-2463
- Neue Suche nach: Palm, Christoph
- Weitere Informationen zu Palm, Christoph:
- https://orcid.org/https://orcid.org/0000-0001-9468-2871
- Neue Suche nach: Tolxdorff, Thomas
- Weitere Informationen zu Tolxdorff, Thomas:
- https://orcid.org/https://orcid.org/0000-0002-8612-8157
- Neue Suche nach: Geißler, Kai
- Weitere Informationen zu Geißler, Kai:
- https://orcid.org/https://orcid.org/0009-0008-9709-0335
- Neue Suche nach: Wenzel, Markus
- Weitere Informationen zu Wenzel, Markus:
- https://orcid.org/https://orcid.org/0009-0007-4078-9121
- Neue Suche nach: Diekmann, Susanne
- Neue Suche nach: von Busch, Heinrich
- Weitere Informationen zu von Busch, Heinrich:
- https://orcid.org/https://orcid.org/0000-0003-0469-1622
- Neue Suche nach: Grimm, Robert
- Weitere Informationen zu Grimm, Robert:
- https://orcid.org/https://orcid.org/0000-0002-1233-8215
- Neue Suche nach: Meine, Hans
- Weitere Informationen zu Meine, Hans:
- https://orcid.org/https://orcid.org/0000-0002-7557-5007
In:
Bildverarbeitung für die Medizin 2024
: Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024
;
Kapitel: 52
;
178-183
;
2024
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:Application of Active Learning-based on Uncertainty Quantification to Breast Segmentation in MRI
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Weitere Titelangaben:Informatik aktuell
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Beteiligte:Maier, Andreas ( Herausgeber:in ) / Deserno, Thomas M. ( Herausgeber:in ) / Handels, Heinz ( Herausgeber:in ) / Maier-Hein, Klaus ( Herausgeber:in ) / Palm, Christoph ( Herausgeber:in ) / Tolxdorff, Thomas ( Herausgeber:in ) / Geißler, Kai ( Autor:in ) / Wenzel, Markus ( Autor:in ) / Diekmann, Susanne ( Autor:in ) / von Busch, Heinrich ( Autor:in )
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Kongress:BVM Workshop ; 2024 ; Erlangen, Deutschland
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Erschienen in:Bildverarbeitung für die Medizin 2024 : Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024 ; Kapitel: 52 ; 178-183Informatik aktuell ; 178-183
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Verlag:
- Neue Suche nach: Springer Fachmedien Wiesbaden
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Erscheinungsort:Wiesbaden
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Erscheinungsdatum:20.02.2024
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Format / Umfang:6 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Deutsch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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Combining Image- and Geometric-based Deep Learning for Shape RegressionKeuth, Ron / Heinrich, Mattias P. et al. | 2024
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Multi-organ Segmentation in CT from Partially Annotated Datasets using Disentangled LearningWang, Tianyi / Liu, Chang / Rist, Leonhard / Maier, Andreas et al. | 2024
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