CL-GAN: ,CT

Yousif Al-Khoury1, Camille P Figueiredo2, Josephine Therkildsen3

  • 1Department of Biomedical Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, Canada; McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.

PubMed
概括

我们开发了一种使用课程学习生成对抗网络 (CL-GAN) 的新方法,以改进形光束计算机断层扫描 (CBCT) 对类风湿性关节炎 (RA) 评估的成像. 这种技术提高了图像分辨率,为RA患者提供了更详细的骨分析.

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