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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/DEMJP
Repositorysid.inpe.br/banon/2004/10.04.21.53
Last Update2004:10.04.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/10.04.21.53.24
Metadata Last Update2022:06.14.00.12.49 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352937
Citation KeyCamapumSilFreBasFre:2004:SeClSt
TitleSegmentation of Clinical Structures from Images of the Human Pelvic Area
FormatOn-line
Year2004
Access Date2024, Apr. 27
Number of Files1
Size602 KiB
2. Context
Author1 Camapum, Juliana Fernandes
2 Silva, Alzenir O.
3 Freitas, Alan N.
4 Bassani, Hansenclever de F.
5 Freitas, Flávia Mendes O.
Affiliation1 Universidade de Brasília, Departamento de Engenharia Elétrica
EditorAlbuquerque, Ara?Arnaldo de
Comba, Jo?Luiz Dihl
Navazo, Isabel
Sousa, Ant? Augusto de
e-Mail Addressjuliana@ene.unb.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:58 :: juliana -> banon ::
2008-08-26 15:15:44 :: banon -> administrator ::
2009-08-13 20:37:39 :: administrator -> banon ::
2010-08-28 20:01:15 :: banon -> administrator ::
2022-06-14 00:12:49 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordssegmentation
watershed transform
medical image
AbstractThe radiotherapy treatment planning requires the delineation of the therapy structures that will be submitted to the radiation beams. When executed manually, this delineation is a slow process and can result in human errors due to the amount of X-ray Computed Tomography (CT) images that are analyzed in each radiotherapy planning. This process needs precision, minimizing the radiation on healthy areas, close to the target tissues. A new system for automatic segmentation of images of clinical structures is proposed in this work. The algorithm is based on multi-region growing followed by watershed transform. The main contributions are the method of seed pixels selection and predicate of the multi-region growing algorithm and the segmentation results achieved. The system was tested in 400 images and its efficiency was measured by two different statistical methods, correlation and the t-test. The clinical structures of interest are the rectum, bladder and seminal vesicles.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Segmentation of Clinical...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Segmentation of Clinical...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/DEMJP
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/DEMJP
Languageen
Target File4164_camapum_j.pdf
User Groupjuliana
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 7
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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