1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/vRkJ3 |
Repository | sid.inpe.br/banon/2002/10.23.10.05 |
Last Update | 2002:09.23.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/10.23.10.05.09 |
Metadata Last Update | 2022:06.14.00.11.41 (UTC) administrator |
DOI | 10.1109/SIBGRA.2002.1167117 |
Citation Key | MachadoGeeCamp:2002:SuSeBa |
Title | Substructural segmentation based on regional shape differences |
Year | 2002 |
Access Date | 2024, Apr. 30 |
Number of Files | 1 |
Size | 135 KiB |
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2. Context | |
Author | 1 Machado, Alexei M. C. 2 Gee, James C. 3 Campos, Mario F. M. |
Editor | Gonçalves, Luiz Marcos Garcia Musse, Soraia Raupp Comba, João Luiz Dihl Giraldi, Gilson Dreux, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI) |
Conference Location | Fortaleza, CE, Brazil |
Date | 10-10 Oct. 2002 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:45 :: administrator -> banon :: 2008-08-26 15:21:20 :: banon -> administrator :: 2009-08-13 20:36:31 :: administrator -> banon :: 2010-08-28 20:00:04 :: banon -> administrator :: 2022-06-14 00:11:41 :: administrator -> :: 2002 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Abstract | This article presents a method for the segmentation of substructures based on exploratory factor analysis. In this approach, a high-dimensional set of shape-related variables is examined with the purpose of finding clusters with strong correlation. This clustering can potentially identify regions that have anatomic significance and thus lend insight to morphometric investigations. The information about regional shape is extracted by registering a reference image to a set of test images.Based on the displacement fields obtained form image registration,the amount of pointwise volume enlargement or reduction is computed and statistically analyzed with the purpose of extracting a reduced set of common factors. The effectiveness and robustness of the method is demonstrated in a study of the human corpus callosum anatomy,based on a sample of 84 right-handed normal controls. The method is able to partition the structure into regions of interest that present correlated shape variation. The confidence of results is evaluated by analyzing the statistical fit of the model. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Substructural segmentation based... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Substructural segmentation based... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/vRkJ3 |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/vRkJ3 |
Language | en |
Target File | 14.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QCSHP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.01.04.11 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Fortaleza, CE, Brazil, from October 7 to 10. |
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