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Clinical validation of enhanced CT imaging for distal radius fractures through conditional Generative Adversarial Networks (cGAN).

Hyojune KimSeung Min RyuJi-Soo KeumSang-Il OhKyung-Nam KimYoung Ho ShinIn-Ho JeonKyoung-Hwan Koh
Published in: PloS one (2024)
In our study utilizing cGAN for enhancing CT imaging resolution, the authors found that the method, which focuses on the difference value between 3 mm and 1 mm images (Method 2), consistently outperformed.
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