Generation of synthetic ground glass nodules using generative adversarial networks (GANs)

RT @EurRadiology: Generative adversarial network (GAN) shows promise in generating ground glass nodules (GGNs), study shows. (Zhixiang Wang…

Generative adversarial network (GAN) shows promise in generating ground glass nodules (GGNs), study shows. (Zhixiang Wang et al.) #EuropeanRadiologyExperimental #RadiologyHeadToToe 🔗 https://t.co/QQx2c7HsXv https://t.co/YZRLYanNDS

RT @EurRadiology: Letter to the Editor: Visual Turing test is not sufficient to evaluate the performance of medical generative models. (Sho…

Letter to the Editor: Visual Turing test is not sufficient to evaluate the performance of medical generative models. (Shoichiro Yamamoto & Akinori Higaki) #EuropeanRadiologyExperimental Letter to the Editor 🔗 https://t.co/FydNlEcx1c Original Article

Generative adversarial network (GAN) generates glass nodules (GGNs), showing that GAN methods have great potential for augmentation of the original dataset. (Zhixiang Wang et al.) #EuropeanRadiologyExperimental 🔗 https://t.co/QQx2c7HsXv https://t.co/xxC0

Generation of synthetic ground glass nodules using generative adversarial networks (GANs) https://t.co/JG7JMrs3gG