1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3S36EU2 |
Repository | sid.inpe.br/sibgrapi/2018/10.16.00.18 |
Last Update | 2018:10.16.00.18.51 (UTC) epa@poli.br |
Metadata Repository | sid.inpe.br/sibgrapi/2018/10.16.00.18.51 |
Metadata Last Update | 2022:05.18.22.18.31 (UTC) administrator |
Citation Key | AlvesFerrLima:2018:MéHíFu |
Title | Um método híbrido fuzzy-swarm-clustering para segmentação de MRI |
Format | On-line |
Year | 2018 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 294 KiB |
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2. Context | |
Author | 1 Alves, Emilly Pereira 2 Ferreira, Felipe Alberto Barbosa Simão 3 Lima, Márcio José de Carvalho |
Affiliation | 1 Universidade de Pernambuco 2 Universidade Federal de Pernambuco 3 Universidade de Pernambuco |
Editor | Ross, Arun Gastal, Eduardo S. L. Jorge, Joaquim A. Queiroz, Ricardo L. de Minetto, Rodrigo Sarkar, Sudeep Papa, João Paulo Oliveira, Manuel M. Arbeláez, Pablo Mery, Domingo Oliveira, Maria Cristina Ferreira de Spina, Thiago Vallin Mendes, Caroline Mazetto Costa, Henrique Sérgio Gutierrez Mejail, Marta Estela Geus, Klaus de Scheer, Sergio |
e-Mail Address | epa@poli.br |
Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) |
Conference Location | Foz do Iguaçu, PR, Brazil |
Date | 29 Oct.-1 Nov. 2018 |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Book Title | Proceedings |
Tertiary Type | Undergraduate Work |
History (UTC) | 2018-10-16 00:18:51 :: epa@poli.br -> administrator :: 2022-05-18 22:18:31 :: administrator -> :: 2018 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | segmentação de imagens lógica fuzzy inteligência de enxames MRI |
Abstract | The segmentation process in Magnetic Resonance Imaging (MRI) stands out when it acts in the detection of different regions of the brain. Among the used techniques, clustering segmentation methods have been commonly used in the literature. In order to optimize the already existing techniques, this paper proposes a hybrid technique with Fuzzy C-Means and Particle Swarm Optimization algorithms. With the purpose of evaluating the algorithms performance, synthetic images and brain simulated MRI were used. The performance was measured in terms of Peak Signal-to-noise Ratio (PSNR), Segmentation Accuracy (SA) and Mean Squared Error (MSE). |
Arrangement | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Um método híbrido... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3S36EU2 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3S36EU2 |
Language | pt |
Target File | wuw_paper_20_camera_ready.pdf |
User Group | epa@poli.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3RPADUS |
Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume |
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