,.

Joseph Rich1,2, Jonathan Le1, Ragheb Raad3

  • 1Department of Radiology, University of Southern California, Los Angeles, California, United States of America.

PLOS digital health
|August 13, 2025
PubMed
概括

有条件的生成对抗网络 (cGAN) 可以成功地归咎于缺失的癌CT图像. 这些生成的图像保留了临床相关的特征,有助于诊断和治疗规划.

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