Mads Bølling, Lærke Mygind, Peter Elsborg, Paulina S Melby, Karen S Barfod, Jan Christian Brønd, Charlotte Demant Klinker, Glen Nielsen, Peter Bentsen
Efficacy and mechanisms of an education outside the classroom intervention on pupils' health and education: the MOVEOUT study protocol
BMC public health
due exorbitant expense obtaining labeled data field medical image analysis semisupervised learning emerged favorable method segmentation anatomical structures although semisupervised learning techniques shown great potential field existing methods utilize imagelevel spatial consistency impose unsupervised regularization data label space considering anatomical structures often possess inherent anatomical properties focused previous works study introduces inherent consistency semisupervised anatomical structure segmentation first prediction groundtruth projected embedding space obtain latent representations encapsulate inherent anatomical properties structures two inherent consistency constraints designed leverage inherent properties aligning latent representations proposed method plugandplay seamlessly integrated existing methods thereby collaborating improve segmentation performance enhance anatomical plausibility results evaluate effectiveness proposed method experiments conducted three public datasets acdc la pancreas extensive experimental results demonstrate proposed method exhibits good generalizability outperforms several stateoftheart methods