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An artificial intelligence-based bone age assessment model for Han and Tibetan children
2024·6 Zitationen·Frontiers in PhysiologyOpen Access
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Zitationen
9
Autoren
2024
Jahr
Abstract
EVG-BANet can accurately predict the bone age (BA) for both Han children and Tibetan children living in the Tibetan Plateau with limited healthcare facilities.
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Autoren
Institutionen
- Peking Union Medical College Hospital(CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College(CN)
- Zhejiang University of Science and Technology(CN)
- Tibet Autonomous Region People's Hospital(CN)
- Jingning County People's Hospital(CN)
- Naga Municipal Hospital(JP)
- People's Hospital of Xinjiang Uygur Autonomous Region(CN)
Themen
Forensic Anthropology and Bioarchaeology StudiesArtificial Intelligence in Healthcare and EducationAutopsy Techniques and Outcomes