Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyGomes:2017:ExAuMe
TitleExtração automática de medidas em exames de ecocardiograma
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size1079 KiB
Context area
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
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeUndergraduate Work
History2017-09-05 01:29:24 :: -> administrator ::
2017-09-09 18:59:05 :: administrator -> :: 2017
2017-09-11 21:42:07 :: -> administrator :: 2017
2020-02-20 22:06:47 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
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.
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Next Higher Units8JMKD3MGPAW/3PJT9LS
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