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Impact of Different Mammography Systems on Artificial Intelligence Performance in Breast Cancer Screening
2023·49 Zitationen·Radiology Artificial IntelligenceOpen Access
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Zitationen
18
Autoren
2023
Jahr
Abstract
© RSNA, 2023.
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Autoren
Institutionen
- Andrews University(US)
- St. Andrews University(US)
- National Health Service(GB)
- University of St Andrews(GB)
- University of Aberdeen(GB)
- Aberdeen Royal Infirmary(GB)
- The Centre for Health (New Zealand)(NZ)
- NHS Grampian(GB)
- Nutrition 21 (United States)(US)
- Kheiron Medical Technologies (United Kingdom)(GB)
- Nutrition Sciences (Belgium)(BE)
- NHS Greater Glasgow and Clyde(GB)
- University of Glasgow(GB)
- Canon (United States)(US)
- Canon Medical Systems Corporation (Japan)
Themen
AI in cancer detectionArtificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging