Using a VAE-learned prior over convolutional filters from a source MRI dataset improves small-data tumor segmentation over pre-training and random initialization, per BRATS2018 experiments.
V-net: Fully convolutional neural networks for volumetric medical image segmentation
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Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
Using a VAE-learned prior over convolutional filters from a source MRI dataset improves small-data tumor segmentation over pre-training and random initialization, per BRATS2018 experiments.