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High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss
Deep learning methods have contributed substantially to the rapid advancement of medical image segmentation, the quality of which relies on the suitable design of loss functions.
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
In this paper, we propose a deep learning approach for image registration by predicting deformation from image appearance.
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