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Found 2 papers, 2 papers with code
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction
Our experiments show that the concept of a context discriminator can be extended to existing GAN based reconstruction models to offer better performance.
A context based deep learning approach for unbalanced medical image segmentation
Foreground-background class imbalance is a common occurrence in medical images, and U-Net has difficulty in handling class imbalance because of its cross entropy (CE) objective function.
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