Jun 25, 2019 · Abstract:We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary ...

Aug 31, 2017 · We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen ...

The experiments show that optimizing the database using the proposed approach reduced database size by 96% while maintaining the same level of lumen ...

PDF | We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen.

We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from ...

Learning a Sparse Database for Patch-Based Medical Image Segmentation ... Authors: Moti Freiman; Hannes Nickisch; Holger Schmitt; Pal Maurovich-Horvat; Patrick ...

Bibliographic details on Learning a Sparse Database for Patch-Based Medical Image Segmentation.

We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation.

Dive into the research topics of 'Learning a sparse database for patch-based medical image segmentation'. Together they form a unique fingerprint. Sort by ...

Learning a Sparse Database for Patch-Based Medical Image Segmentation. Chapter number, 6. Book title. Patch-Based Techniques in Medical Imaging. Published in.