@InProceedings{DeboraGil2013,
author="Debora Gil
and Agnes Borras
and Sergio Vera
and Miguel Angel Gonzalez Ballester",
title="A Validation Benchmark for Assessment of Medial Surface Quality for Medical Applications",
booktitle="9th International Conference on Computer Vision Systems",
year="2013",
publisher="Springer Berlin Heidelberg",
volume="7963",
pages="334--343",
optkeywords="Medial Surfaces",
optkeywords="Shape Representation",
optkeywords="Medical Applications",
optkeywords="Performance Evaluation",
abstract="Confident use of medial surfaces in medical decision support systems requires evaluating their quality for detecting pathological deformations and describing anatomical volumes. Validation in the medical imaging field is a challenging task mainly due to the difficulties for getting consensual ground truth. In this paper we propose a validation benchmark for assessing medial surfaces in the context of medical applications. Our benchmark includes a home-made database of synthetic medial surfaces and volumes and specific scores for evaluating surface accuracy, its stability against volume deformations and its capabilities for accurate reconstruction of anatomical volumes.",
optnote="IAM; 600.044; 600.060",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2300), last updated on Tue, 25 Feb 2020 13:06:57 +0100",
isbn="978-3-642-39401-0",
issn="0302-9743",
doi="10.1007/978-3-642-39402-7_34",
file=":http://refbase.cvc.uab.es/files/GBV2013.pdf:PDF"
}