Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study ; volume:7 ; number:1 ; day:7 ; month:6 ; year:2023 ; pages:1-12 ; date:12.2023
European radiology experimental ; 7, Heft 1 (7.6.2023), 1-12, 12.2023

Creator: Burger, Bianca
Bernathova, Maria
Seeböck, Philipp
Singer, Christian F.
Helbich, Thomas H.
Langs, Georg

Contributor: SpringerLink (Online service)

DOI: 10.1186/s41747-023-00343-y

URN: urn:nbn:de:101:1-2023091108381102425946

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:58 AM CEST

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Burger, Bianca
Bernathova, Maria
Seeböck, Philipp
Singer, Christian F.
Helbich, Thomas H.
Langs, Georg
SpringerLink (Online service)

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Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study

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