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Memorias de investigación
Communications at congresses:
A new label fusion method using graph cuts: application to hippocampus segmentation
Year:2013
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
The aim of this paper is to develop a probabilistic modeling framework for the segmentation of structures of interest from a collection of atlases. Given a subset of registered atlases into the target image for a particular Region of Interest (ROI), a statistical model of appearance and shape is computed for fusing the labels. Segmentations are obtained by minimizing an energy function associated with the proposed model, using a graph-cut technique. We test different label fusion methods on publicly available MR images of human brains.
International
Si
Congress
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013
960
Place
Sevilla, España
Reviewers
Si
ISBN/ISSN
978-3-319-00845-5
10.1007/978-3-319-00846-2_43
Start Date
25/09/2013
End Date
28/09/2013
From page
174
To page
177
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013 IFMBE Proceedings Volume 41, 2014
Participants
  • Autor: Carlos Platero Dueñas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Electrónica, Automática e Informática Industrial
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