Adversarial Training and Dilated Convolutions for Brain MRI Segmentation

  title={Adversarial Training and Dilated Convolutions for Brain MRI Segmentation},
  author={P. Moeskops and M. Veta and Maxime W. Lafarge and K. A. Eppenhof and J. Pluim},
  • P. Moeskops, M. Veta, +2 authors J. Pluim
  • Published in DLMIA/ML-CDS@MICCAI 2017
  • Psychology, Computer Science
  • Convolutional neural networks (CNNs) have been applied to various automatic image segmentation tasks in medical image analysis, including brain MRI segmentation. Generative adversarial networks have recently gained popularity because of their power in generating images that are difficult to distinguish from real images. 
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