使用单模和多模深度学习模型的MRI和CT扫描来预测骨质疏松症

Yasemin Küçükçiloğlu1,2, Boran Şekeroğlu3, Terin Adalı2,4,5

  • 1Near East University Faculty of Medicine, Department of Radiology, Nicosia, Cyprus

概括

深度学习模型使用磁共振 (MR) 和计算机断层扫描 (CT) 成像准确预测骨质疏松症. 结合MRI和CT扫描的多模式方法显著改善了骨质疏松症预测的准确性.

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