Reference TypeConference Proceedings
Citation KeyMachado:2006:InStPo
AuthorMachado, Alexei Manso Correa
AffiliationPUC Minas
TitleIncreasing statistical power in medical image analysis
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Book TitleProceedings
Date8-11 Oct. 2006
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationManaus
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. .
Tertiary TypeFull Paper
Size161 KiB
Number of Files1
Target Filemachado-increasing.pdf
Last Update2006: administrator
Metadata Last Update2020: administrator {D 2006}
Document Stagecompleted
Is the master or a copy?is the master
User Groupalexeimachado administrator
Content TypeExternal Contribution
source Directory Contentthere are no files
agreement Directory Contentthere are no files
History2008-07-17 14:11:02 :: alexeimachado -> administrator ::
2009-08-13 20:38:01 :: administrator -> banon ::
2010-08-28 20:02:23 :: banon -> administrator ::
2020-02-19 03:17:35 :: administrator -> :: 2006
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
Access Date2020, Nov. 24