We propose a deep learning-based regularized segmentation method for multi-structure bone delineation in MR images, designed to overcome the inherent scarcity ...
A deep learning-based regularized segmentation method for multi-structure bone delineation in MR images, designed to overcome the inherent scarcity and ...
The novel shape priors based adversar- ial regularization (SPAR) exploits latent shape codes arising from ground truth and predicted masks to guide the segmen-.
This shape code discriminator allows learning an adaptive distance metric and has demonstrated equivalent or superior performance than Euclideanbased shape ...
Jan 25, 2021 · The novel shape priors based adversarial regularization (SPAR) exploits latent shape codes arising from ground truth and predicted masks to ...
Multi-structure deep segmentation with shape priors and latent adversarial regularization ; 1 IMT Atlantique - ITI - Département lmage et Traitement Information
Multi-structure deep segmentation with shape priors and latent adversarial regularization. Conference papers. Boutillon Arnaud, Borotikar Bhushan, Pons ...
Multi-Structure Deep Segmentation With Shape Priors And Latent Adversarial Regularization · Abstract · Authors · BibTeX · References · Bibliographies · Reviews ...
A regularization strategy based on a multi-scale contrastive metric is designed to impose domain-specific clusters. •. Multi-joint anatomical priors are ...
This paper proposes an automatic method for scapula bone segmentation from Magnetic Resonance (MR) images using deep learning. Anatomy · Management +1.