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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJ6G9P
Repositorysid.inpe.br/sibgrapi/2017/09.05.01.29
Last Update2017:09.11.21.42.07 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.05.01.29.24
Metadata Last Update2022:05.18.22.18.24 (UTC) administrator
Citation KeyGomes:2017:ExAuMe
TitleExtração automática de medidas em exames de ecocardiograma
FormatOn-line
Year2017
Access Date2024, Oct. 08
Number of Files1
Size1079 KiB
2. Context
AuthorGomes, Paulo Rodrigues
AffiliationPessoa, Ramon Figueiredo
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressprxgomes@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2017-09-05 01:29:24 :: prxgomes@gmail.com -> administrator ::
2017-09-09 18:59:05 :: administrator -> prxgomes@gmail.com :: 2017
2017-09-11 21:42:07 :: prxgomes@gmail.com -> administrator :: 2017
2022-05-18 22:18:24 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsechocardiogram
automatic extraction
pre-processing
AbstractThe diagnosis of echocardiogram exam is a cumbersome process and requires much time of a specialist due to the identification of regions of interest as well as their measurements. The proposed objective aims to streamline the diagnostic process and provide a greater amount and quality of information to the specialist. This work presents an approach for automatic extraction of some of the measures that the exam provides, evaluating two different filters and the influence of them in the measures extraction, using a baseline, measurements made by a specialist. Important results were obtained, showing that 98% to 99% of the percentage of variation explained in the measures extraction process refers to pre-processing step, the proposed approach obtained 9% error reduction in compared to another solution implemented and using a combined approach, a 38% reduction of errors.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Extração automática de...
doc Directory Contentaccess
source Directory Content
main.pdf 04/09/2017 22:29 1.1 MiB
agreement Directory Content
agreement.html 04/09/2017 22:29 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJ6G9P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJ6G9P
Languagept
Target Filemain.pdf
User Groupprxgomes@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 44
sid.inpe.br/banon/2001/03.30.15.38.24 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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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