TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation

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Abstract:

Fully convolutional networks (FCNs), including U-Net and V-Net, are widely-used network architecture for semantic segmentation in recent studies. However, conventional FCNs are typically trained by the cross-entropy loss or dice loss, in which the relationships among voxels are neglected. This often results in non-smooth neighborhoods i...More

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