Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

Saldanha, Oliver Lester; Laleh, Narmin Ghaffari; Zhu, Jiefu; Varoutas, Paul Christophe; Schulz, Volkmar Adolf; Payne, Nicholas R.; Behner, Jakob; Ciritsis, Alexander; Wenzel, Markus; Gilbert, Fiona J.; Müller-Franzes, Gustav; Camps, Julia; Kyathanahally, Sreenath; Escudero Sánchez, Lorena; Mann, Ritse; Morozov, Sergey; Kolofousi, Chrysafoula; Kuhl, Christiane; Abdullah, Kamarul A.; Kalogeropoulos, Michail; Ligero, Marta; Carrero, Zunamys I.; Rossi, Cristina; Apostolakos, Georgios; Perez-Lopez, Raquel; Kleanthous, Antri; Nowakowska, Sylwia; Veldhuis, Wouter; Athanasiou, Alexandra; Kather, Jakob Nikolas; Truhn, Daniel; Pfeiffer, Kevin

doi:10.1038/s43856-024-00722-5

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

Saldanha, Oliver Lester^RWTH* ; Zhu, Jiefu ; Müller-Franzes, Gustav^RWTH* ; Carrero, Zunamys I.^RWTH* ; Payne, Nicholas R. ; Escudero Sánchez, Lorena ; Varoutas, Paul Christophe ; Kyathanahally, Sreenath ; Laleh, Narmin Ghaffari ; Pfeiffer, Kevin ; Ligero, Marta ; Behner, Jakob ; Abdullah, Kamarul A. ; Apostolakos, Georgios ; Kolofousi, Chrysafoula ; Kleanthous, Antri ; Kalogeropoulos, Michail ; Rossi, Cristina ; Nowakowska, Sylwia ; Athanasiou, Alexandra ; Perez-Lopez, Raquel ; Mann, Ritse ; Veldhuis, Wouter ; Camps, Julia ; Schulz, Volkmar Adolf^RWTH* ; Wenzel, Markus ; Morozov, Sergey ; Ciritsis, Alexander ; Kuhl, Christiane^RWTH* ; Gilbert, Fiona J. ; Truhn, Daniel^RWTH* ; Kather, Jakob Nikolas (Corresponding author)

In
Communications medicine 5, Seiten/Artikel-Nr.:38

2025

Impressum[London] : Springer Nature

Umfang1-12

ISSN2730-664X

Online
DOI: 10.1038/s43856-024-00722-5
10.1038/s43856-024-00722-5
DOI: 10.18154/RWTH-2025-10188
URL: https://publications.rwth-aachen.de/record/1022693/files/1022693.pdf

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OpenAccess:
PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85218187172
WOS Core Collection: WOS:001415025600001

Interne Identnummern
RWTH-2025-10188
Datensatz-ID: 1022693

Beteiligte Länder
Austria, Germany, Greece, Malaysia, Netherlands, Spain, Switzerland, UK

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; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; SCOPUS ; Web of Science Core Collection

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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

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