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A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor
We propose an automatic end-to-end trainable architecture for heterogeneous brain tumor segmentation through adversarial training for the BraTS-2017 challenge. Expand
Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation
- Mina Rezaei, Haojin Yang, Konstantin Harmuth, C. Meinel
- Computer Science
- IEEE Winter Conference on Applications of…
We propose a new generative adversarial architecture to mitigate imbalance data problem in medical image semantic segmentation where the majority of pixels belongs to a healthy region and few belong to lesion or non-health region. Expand