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Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging
6
Zitationen
32
Autoren
2025
Jahr
Abstract
Combining weakly supervised learning with SL enhances inter-institutional collaboration, improving the utility of distributed datasets for medical AI training without requiring detailed annotations or centralized data sharing.
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Autoren
- Oliver Lester Saldanha
- Jiefu Zhu
- Gustav Müller‐Franzes
- Zunamys I. Carrero
- Nicholas Roy Payne
- L. Escudero
- Paul-Christophe Varoutas
- Sreenath P. Kyathanahally
- Narmin Ghaffari Laleh
- Kathy Pfeiffer
- Marta Ligero
- Jakob Behner
- Kamarul Amin Abdullah
- Georgios Apostolakos
- Chrysafoula Kolofousi
- Antri Kleanthous
- Michail Kalogeropoulos
- Cristina Rossi
- Sylwia Nowakowska
- Alexandra Athanasiou
- Raquel Pérez-López
- Ritse M. Mann
- Wouter B. Veldhuis
- Julia Camps Herrero
- Volkmar Schulz
- M Wenzel
- С. П. Морозов
- Alexander Ciritsis
- Christiane Kühl
- Fiona J. Gilbert
- Daniel Truhn
- Jakob Nikolas Kather
Institutionen
- University Hospital Carl Gustav Carus(DE)
- RWTH Aachen University(DE)
- University of Cambridge(GB)
- Cancer Research UK Cambridge Center(GB)
- Mitera Hospital(GR)
- University Hospital of Zurich(CH)
- Sultan Zainal Abidin University(MY)
- Vall d'Hebron Institute of Oncology(ES)
- Radboud University Nijmegen(NL)
- Radboud University Medical Center(NL)
- The Netherlands Cancer Institute(NL)
- Oncode Institute(NL)
- University Medical Center Utrecht(NL)
- Hospital de La Ribera(ES)
- Fraunhofer Institute for Digital Medicine(DE)
- University of Bremen(DE)
- European Society of Radiology(AT)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- National Center for Tumor Diseases(DE)
- Technische Universität Dresden(DE)