Machine Learning

[P2-A2-015] Improving Image Quality of Synthetic FLAIR by Deep Learning Using Conditional Generative Adversarial Network

Akifumi Hagiwara^1,2, Yujiro Otsuka^1,3, Masaaki Hori¹, Shohei Fujita¹, Koji Kamagata¹, Ryusuke Irie^1,2, Tomoko Maekawa^1,2, Christina Andica¹, Akihiko Wada¹, Moeko Horita^1,4, Takuya Haruyama^1,4, Osamu Abe², Shigeki Aoki¹ (1.Department of Radiology, Juntendo University School of Medicine, 2.Department of Radiology, Graduate School of Medicine, The University of Tokyo, 3.Milliman, Inc., 4.Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University)