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Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

By Anna Kuzina and others
Automatic segmentation methods based on deep learning have recently demonstrated state-of-the-art performance, outperforming the ordinary methods. Nevertheless, these methods are inapplicable for small datasets, which are very common in medical problems. To this end, we propose a knowledge transfer method between diseases via the Generative Bayesian Prior network. Our approach... Show more
August 15, 2019
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Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
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