使用三种不同的深度学习模型的组合开发心周脂肪计数图像:图像翻译模型从胸部放射图像到投影图像三维计算机断层扫描的图像

Takaaki Matsunaga1, Atsushi Kono1, Hidetoshi Matsuo1

  • 1Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan (T.M., A.K., H.M., H.H., T.M.).

Academic radiology
|November 1, 2023
PubMed
概括

一个新的深度学习模型可以从胸部X射线图 (CXR) 创建心周脂肪计数图像 (PFCI). 这种方法在评估心周脂肪方面表现得更好,可能减少对CT扫描的需求.

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