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Found 4 papers, 0 papers with code
Translational Motion Compensation for Soft Tissue Velocity Images
Methods: Translational motion is estimated from a suitable region of velocities automatically defined in the left-ventricular volume.
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network
Over the past decades, state-of-the-art medical image segmentation has heavily rested on signal processing paradigms, most notably registration-based label propagation and pair-wise patch comparison, which are generally slow despite a high segmentation accuracy.
Learning Multiple Categories on Deep Convolution Networks
Deep convolution networks have proved very successful with big datasets such as the 1000-classes ImageNet.
Batch Normalization and the impact of batch structure on the behavior of deep convolution networks
If training batches are structured as balanced batches (one image per class), and inference is also carried out on balanced test batches, using the batch's own means and variances, then the conditional results will improve considerably.
