A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor

  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},
  • 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
    46 Citations
    voxel-GAN: Adversarial Framework for Learning Imbalanced Brain Tumor Segmentation
    • 6
    RescueNet: An unpaired GAN for brain tumor segmentation
    • 11
    Generative Adversarial Framework for Learning Multiple Clinical Tasks
    • 1
    An Adversarial and Densely Dilated Network for Connectomes Segmentation
    • 5
    • Highly Influenced
    • PDF
    Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
    • 33
    • PDF
    Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data
    • 4
    • PDF
    Attention-Based DenseUnet Network With Adversarial Training for Skin Lesion Segmentation
    • 4
    Instance Tumor Segmentation using Multitask Convolutional Neural Network
    • 8


    Adversarial Deep Structural Networks for Mammographic Mass Segmentation
    • 54
    • PDF
    Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
    • 7,406
    • Highly Influential
    • PDF
    Improved Techniques for Training GANs
    • 4,058
    • PDF
    Deep multi-scale video prediction beyond mean square error
    • 1,209
    • PDF
    A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
    • 305
    • PDF
    Perceptual Generative Adversarial Networks for Small Object Detection
    • 287
    • PDF
    Conditional Generative Adversarial Nets
    • 4,189
    • PDF
    Generative Adversarial Networks
    • 1,960
    • PDF