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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/LJyAe
Repositorysid.inpe.br/sibgrapi@80/2006/07.12.15.38
Last Update2006:07.12.15.38.07 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/07.12.15.38.08
Metadata Last Update2022:06.14.00.13.10 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.27
Citation KeyMachado:2006:InStPo
TitleIncreasing statistical power in medical image analysis
FormatOn-line
Year2006
Access Date2024, May 03
Number of Files1
Size161 KiB
2. Context
AuthorMachado, Alexei Manso Correa
AffiliationPUC Minas
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressalexei@pucminas.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)2008-07-17 14:11:02 :: alexeimachado -> administrator ::
2009-08-13 20:38:01 :: administrator -> banon ::
2010-08-28 20:02:23 :: banon -> administrator ::
2022-06-14 00:13:10 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsmultiple comparison correction
image registration
Bonferroni correction
AbstractIn this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. The method increases the statistical power of the results by refuting the assumption of independence among variables, while keeping the probability of false positives low. It is based on the spectral graph theory, in which the variables are seen as the vertices of a complete undirected graph and the correlation matrix as the adjacency matrix that weights its edges. By computing the eigenvalues of the correlation matrix, it is possible to obtain valuable information about the dependence levels among the variables of the problem. The method is compared to other available models and its effectiveness illustrated in a case study on the morphology of the human corpus callosum. .
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Increasing statistical power...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Increasing statistical power...
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/LJyAe
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LJyAe
Languageen
Target Filemachado-increasing.pdf
User Groupalexeimachado
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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