Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zakazov, Ivan"'
Generalizability of deep learning models may be severely affected by the difference in the distributions of the train (source domain) and the test (target domain) sets, e.g., when the sets are produced by different hardware. As a consequence of this
Externí odkaz:
http://arxiv.org/abs/2208.00474
Domain Adaptation (DA) methods are widely used in medical image segmentation tasks to tackle the problem of differently distributed train (source) and test (target) data. We consider the supervised DA task with a limited number of annotated samples f
Externí odkaz:
http://arxiv.org/abs/2107.04914
MRI scans appearance significantly depends on scanning protocols and, consequently, the data-collection institution. These variations between clinical sites result in dramatic drops of CNN segmentation quality on unseen domains. Many of the recently
Externí odkaz:
http://arxiv.org/abs/2008.07357