AUTHOR=Kuzina Anna , Egorov Evgenii , Burnaev Evgeny 

TITLE=Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems

JOURNAL=Frontiers in Neuroscience

VOLUME=13

YEAR=2019

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2019.00844

DOI=10.3389/fnins.2019.00844

ISSN=1662-453X

ABSTRACT=<p>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 is compared to a pre-train approach and random initialization and obtains the best results in terms of Dice Similarity Coefficient metric for the small subsets of the Brain Tumor Segmentation 2018 database (BRATS2018).</p>