MRI SHOULDER COMPLEX SEGMENTATION AND CLASSIFICATION

Gabriela Pérez, J. F. Garamendi, R. Montes Diez, E. Schiavi

2008

Abstract

This paper deals with a segmentation (classification) problem which arises in the diagnostic and treatment of shoulder disorders. Classical techniques can be applied successfully to solve the binary problem but they do not provide a suitable method for the multiphase problem we consider. To this end we compare two different methods which have been applied successfully to other medical images modalities and structures. Our preliminary results suggest that a successful segmentation and classification has to be based on an hybrid method combining statistical and geometric information.

Paper Citation

in Harvard Style

Pérez G., F. Garamendi J., Montes Diez R. and Schiavi E. (2008). MRI SHOULDER COMPLEX SEGMENTATION AND CLASSIFICATION . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 13-18. DOI: 10.5220/0001067600130018

in Bibtex Style

@conference{biosignals08,
author={Gabriela Pérez and J. F. Garamendi and R. Montes Diez and E. Schiavi},
title={MRI SHOULDER COMPLEX SEGMENTATION AND CLASSIFICATION},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={13-18},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001067600130018},
isbn={978-989-8111-18-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - MRI SHOULDER COMPLEX SEGMENTATION AND CLASSIFICATION
SN - 978-989-8111-18-0
AU - Pérez G.
AU - F. Garamendi J.
AU - Montes Diez R.
AU - Schiavi E.
PY - 2008
SP - 13
EP - 18
DO - 10.5220/0001067600130018