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使用深度学习方法在全景射线图上检测下巴病变

Dilek Çoban1, Yasin Yaşa2, Abdulsamet Aktaş3

  • 1Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Kafkas University, Kars, Turkey. dilek.coban@kafkas.edu.tr.

Journal of imaging informatics in medicine
|August 28, 2025
PubMed
概括

最先进的深度学习模型有望在全景射线图上检测和细分病变. 特别是在空间定位方面,RT-DETR-L表现出卓越的性能,提供了有价值的临床决策支持.

关键词:
人工智能深度学习损伤情况全景射线图一个YOLO

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