A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor

@inproceedings{Rezaei2017ACA,
  title={A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor},
  author={Mina Rezaei and Konstantin Harmuth and Willi Gierke and Thomas Kellermeier and M. Fischer and Haojin Yang and C. Meinel},
  booktitle={BrainLes@MICCAI},
  year={2017}
}
  • Mina Rezaei, Konstantin Harmuth, +4 authors C. Meinel
  • Published in BrainLes@MICCAI 2017
  • Computer Science
  • Automated brain lesion detection is an important and very challenging clinical diagnostic task, due to the lesions’different sizes, shapes, contrasts, and locations. [...] Key Method Inspired by classical generative adversarial network, the proposed network has two components: the “Discriminator” and the “Generator”. We use a patient-wise fully convolutional neural networks (FCNs) as the segmentor network to generate segmentation label maps.Expand Abstract
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