IRMA: An Image Registration Meta-algorithm
Identifieur interne : 000194 ( Main/Exploration ); précédent : 000193; suivant : 000195IRMA: An Image Registration Meta-algorithm
Auteurs : T. Leung [États-Unis] ; Stott Parker [États-Unis] ; Alexandre Cunha [États-Unis] ; Cornelius Hojatkashani [États-Unis] ; Ivo Dinov [États-Unis] ; W. Toga [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: IRMA is a meta-algorithm for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining — exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time.
Url:
DOI: 10.1007/978-3-540-69497-7_46
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: IRMA is a meta-algorithm for image registration (image alignment), evaluating results under multiple metrics using the LONI Pipeline workflow infrastructure, on the LONI/CCB grid computing facility. IRMA manages these results in a model base implemented with PostgreSQL. It permits scientists to catalog the results such as provenance information, and permits subsequent mining — exploring the space of alternatives in an organized fashion and building understanding about individual algorithms, and learn about strengths and weaknesses of algorithms over time.</div>
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