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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M5KRMS
Repositorysid.inpe.br/sibgrapi/2016/07.22.23.46
Last Update2016:07.22.23.46.34 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/07.22.23.46.34
Metadata Last Update2022:06.14.00.08.39 (UTC) administrator
DOI10.1109/SIBGRAPI.2016.045
Citation KeySpinaMartFalc:2016:InMeIm
TitleInteractive Medical Image Segmentation by Statistical Seed Models
FormatOn-line
Year2016
Access Date2024, May 02
Number of Files1
Size2788 KiB
2. Context
Author1 Spina, Thiago Vallin
2 Martins, Samuel Botter
3 Falcão, Alexandre Xavier
Affiliation1 Institute of Computing - University of Campinas
2 Institute of Computing - University of Campinas
3 Institute of Computing - University of Campinas
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresstvspina@ic.unicamp.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherIEEE Computer Society´s Conference Publishing Services
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2016-07-22 23:46:34 :: tvspina@ic.unicamp.br -> administrator ::
2016-10-05 14:49:19 :: administrator -> tvspina@ic.unicamp.br :: 2016
2016-10-13 12:36:19 :: tvspina@ic.unicamp.br -> administrator :: 2016
2022-06-14 00:08:39 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsInteractive Image Segmentation
Statistical Object Shape Models
Robot Users
AbstractInteractive 3D object segmentation is an important and challenging activity in medical imaging, although it is tedious and error-prone to be done. Automatic segmentation methods aim to replace the user altogether, but require user interaction to produce training data sets of segmented masks and to make error corrections. We propose a complete framework for interactive medical image segmentation, which reduces user effort by automatically providing an initial segmentation result. We develop a Statistical Seed Model (SSM) to this end, that improves from seed sets selected by robot users when reconstructing masks of previously segmented images. The SSM outputs a seed set that may be used to automatically delineate a new test image. The seeds provide both an implicit object shape constraint and a flexible way of interactively correcting segmentation. We demonstrate that our framework decreases the amount of user interaction by a factor of three, when segmenting MR-images of the cerebellum.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2016 > Interactive Medical Image...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Interactive Medical Image...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M5KRMS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M5KRMS
Languageen
Target FilePID4373563.pdf
User Grouptvspina@ic.unicamp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark 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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