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Neural Network Boundary Detection for 3D Vessel Segmentation

Robert Ieuan Palmer, Xianghua Xie Orcid Logo

Advanced Concepts for Intelligent Vision Systems, Volume: 10016, Pages: 25 - 36

Swansea University Author: Xianghua Xie Orcid Logo

DOI (Published version): 10.1007/978-3-319-48680-2_3

Abstract

In this paper we investigate the performance of NN architectures for the purpose of boundary detection, before integrating a chosen architecture in a data-driven deformable modelling framework for full segmentation.

Published in: Advanced Concepts for Intelligent Vision Systems
ISBN: 978-3-319-48679-6 978-3-319-48680-2
Published: 2016
URI: https://cronfa.swan.ac.uk/Record/cronfa32106
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Abstract: In this paper we investigate the performance of NN architectures for the purpose of boundary detection, before integrating a chosen architecture in a data-driven deformable modelling framework for full segmentation.
Keywords: Neural network, image segmentation, medical image analysis
College: Faculty of Science and Engineering
Start Page: 25
End Page: 36