Share Email Print

Proceedings Paper

A preparatory study to choose similarity metrics for left-ventricle segmentations comparison
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In medical image processing and analysis it is often required to perform segmentation for quantitative measures of extent, volume and shape. The validation of new segmentation methods and tools usually implies comparing their various outputs among themselves (or with a ground truth), using similarity metrics. Several such metrics are proposed in the literature but it is important to select those which are relevant for a particular task as opposed to using all metrics and therefore avoiding additional computational cost and redundancy. A methodology is proposed which enables the assessment of how different similarity and discrepancy metrics behave for a particular comparison and the selection of those which provide relevant data.

Paper Details

Date Published: 8 March 2011
PDF: 8 pages
Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 796326 (8 March 2011); doi: 10.1117/12.878294
Show Author Affiliations
Samuel De Sousa Silva, Univ. de Aveiro (Portugal)
Beatriz Sousa Santos, Univ. de Aveiro (Portugal)
Carlos Ferreira, Univ. de Aveiro (Portugal)
Univ. de Lisboa (Portugal)
Joaquim Madeira, Univ. de Aveiro (Portugal)
Augusto Silva, Univ. de Aveiro (Portugal)

Published in SPIE Proceedings Vol. 7963:
Medical Imaging 2011: Computer-Aided Diagnosis
Ronald M. Summers M.D.; Bram van Ginneken, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?