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Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network
[article]
2022
arXiv
pre-print
Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical practice. However, most segmentation models do not perform well on scarce pediatric imaging data. We propose a new pre-trained regularized convolutional encoder-decoder network for the challenging task of segmenting heterogeneous pediatric magnetic resonance (MR) images. To this end, we have conceived a novel optimization scheme for the segmentation network which comprises additional
arXiv:2009.07092v5
fatcat:dpd2vsoipnejnbzgxqt4rmc6cm