Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound
Weakly supervised deep learning can classify malignancy in CEUS examinations of FLLs and thus might one day be able to assist doctors' decision-making in clinical routine.
Authors
- Tom Luedde (ORCID: https://orcid.org/0000-0002-6288-8821)
- Michael Kallenbach (ORCID: https://orcid.org/0000-0002-0087-7748)
- Jens Berger (ORCID: https://orcid.org/0000-0002-8978-5099)
- Marko van Treeck
- Marco Gustav (ORCID: https://orcid.org/0009-0009-3598-5720)
- Tobias Paul Seraphin (ORCID: https://orcid.org/0000-0001-9884-8752)
- Ulrike Morgera
- Jakob Nikolas Kather (ORCID: https://orcid.org/0000-0002-3730-5348)
- Oliver Lester Saldanha (ORCID: https://orcid.org/0000-0002-3594-7590)
- Adil Oezsoy
- Yvonne Döerffel
- James Brooks
Institutions
- Düsseldorf University Hospital (DE)
- Klinikum Ernst von Bergmann (DE)
- University Hospital Carl Gustav Carus (DE)
- Heinrich Heine University Düsseldorf (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Digestion
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1159/000545098
- Citations
- 2
- Primary Topic
- Ultrasound and Hyperthermia Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Institute for Health and Care Research
- Department of Health and Social Care
- European Commission
- Deutscher Akademischer Austauschdienst
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Bundesministerium für Gesundheit
- Studienstiftung des Deutschen Volkes
- Deutsche Krebshilfe
- Servier
- Gemeinsame Bundesausschuss
- HORIZON EUROPE Framework Programme
- Leeds Biomedical Research Centre