Brain Image Classification Based on Automated Morphometry and Penalised Linear Discriminant Analysis with Resampling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F15%3A00088877" target="_blank" >RIV/00216224:14110/15:00088877 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.15439/2015F147" target="_blank" >http://dx.doi.org/10.15439/2015F147</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2015F147" target="_blank" >10.15439/2015F147</a>
Alternative languages
Result language
angličtina
Original language name
Brain Image Classification Based on Automated Morphometry and Penalised Linear Discriminant Analysis with Resampling
Original language description
This paper presents a new data-driven classification pipeline for discriminating two groups of individuals based on the medical images of their brain. The algorithm combines deformation-based morphometry and penalised linear discriminant analysis with resampling. The method is based on sparse representation of the original brain images using deformation logarithms reflecting the differences in the brain in comparison to the normal template anatomy. The sparse data enables efficient data reduction and classification via the penalised linear discriminant analysis with resampling. The classification accuracy obtained in an experiment with magnetic resonance brain images of first episode schizophrenia patients and healthy controls is comparable to the related state-of-the-art studies.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/NT13359" target="_blank" >NT13359: Advanced Methods for Recognition of MR brain images for Computer Aided Diagnosis of Neuropsychiatric Disorders</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2015 Federated Conference on Computer Science and Information Systems
ISBN
9788360810668
ISSN
2300-5963
e-ISSN
—
Number of pages
6
Pages from-to
263-268
Publisher name
Polskie Towarzystwo Informatyczne, IEEE
Place of publication
Warsaw, Los Alamitos
Event location
Łódź
Event date
Sep 13, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000376494300031