Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis
2023·164 Zitationen·RadiologyOpen Access
Volltext beim Verlag öffnen164
Zitationen
13
Autoren
2023
Jahr
Abstract
See also the editorial by Scaranelo in this issue.
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Autoren
Institutionen
- Johns Hopkins University(US)
- Yonsei University(KR)
- Severance Hospital(KR)
- Karolinska University Hospital(SE)
- Karolinska Institutet(SE)
- Medical University of Vienna(AT)
- University of Pennsylvania(US)
- University of Cambridge(GB)
- Harvard University(US)
- Massachusetts General Hospital(US)
- University of California, Davis(US)
- Johns Hopkins Medicine(US)
- University of Pittsburgh(US)
- Magee-Womens Hospital(US)
- St James's University Hospital(GB)
- Copenhagen University Hospital(DK)
- Imaging Center(US)
- New York University(US)
- Radboud University Nijmegen(NL)
- Radboud University Medical Center(NL)
- The Netherlands Cancer Institute(NL)
- Oncode Institute(NL)
Themen
AI in cancer detectionRadiomics and Machine Learning in Medical ImagingDigital Radiography and Breast Imaging