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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/LFJ24
Repositorysid.inpe.br/sibgrapi@80/2006/07.07.18.53
Last Update2006:07.07.18.56.33 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/07.07.18.53.28
Metadata Last Update2022:06.14.00.13.09 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.19
Citation KeyThomazAgOlDuBuGiRu:2006:MuLiAp
TitleExtracting Discriminative Information from Medical Images: A Multivariate Linear Approach
FormatOn-line
Year2006
Access Date2024, Apr. 28
Number of Files1
Size655 KiB
2. Context
Author1 Thomaz, Carlos
2 Aguiar, Nelson
3 Oliveira, Sergio
4 Duran, Fabio
5 Busatto, Geraldo
6 Gillies, Duncan
7 Rueckert, Daniel
Affiliation1 Department of Electrical Engineering, Centro Universitario da FEI, São Paulo, Brazil
2 Department of Electrical Engineering, Centro Universitario da FEI, São Paulo, Brazil
3 Department of Electrical Engineering, Centro Universitario da FEI, São Paulo, Brazil
4 Departments of Psychiatry and Radiology, Faculty of Medicine, University of São Paulo, Brazil
5 Departments of Psychiatry and Radiology, Faculty of Medicine, University of São Paulo, Brazil
6 Department of Computing, Imperial College, London, UK
7 Department of Computing, Imperial College, London, UK
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addresscet@fei.edu.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2006-07-07 18:56:33 :: cethomaz -> banon ::
2006-08-30 22:00:03 :: banon -> cethomaz ::
2008-07-17 14:11:02 :: cethomaz -> administrator ::
2009-08-13 20:38:00 :: administrator -> banon ::
2010-08-28 20:02:22 :: banon -> administrator ::
2022-06-14 00:13:09 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsStatistical pattern recognition
Medical image computing
AbstractStatistical discrimination methods are suitable not only for classification but also for characterisation of differences between a reference group of patterns and the population under investigation. In the last years, statistical methods have been proposed to classify and analyse morphological and anatomical structures of medical images. Most of these techniques work in high-dimensional spaces of particular features such as shapes or statistical parametric maps and have overcome the difficulty of dealing with the inherent high dimensionality of medical images by analysing segmented structures individually or performing hypothesis tests on each feature separately. In this paper, we present a general multivariate linear framework to identify and analyse the most discriminating hyper-plane separating two populations. The goal is to analyse all the intensity features simultaneously rather than segmented versions of the data separately or feature-by-feature. The conceptual and mathematical simplicity of the approach, which pivotal step is spatial normalisation, involves the same operations irrespective of the complexity of the experiment or nature of the data, giving multivariate results that are easy to interpret. To demonstrate its performance we present experimental results on artificially generated data set and real medical data.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Extracting Discriminative Information...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Extracting Discriminative Information...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LFJ24
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LFJ24
Languageen
Target Filethomaz-multivariate.pdf
User Groupcethomaz
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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