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		<repository>sid.inpe.br/sibgrapi/2017/09.05.01.29</repository>
		<lastupdate>2017:09.11.21.42.07 sid.inpe.br/banon/2001/03.30.15.38 prxgomes@gmail.com</lastupdate>
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		<citationkey>Gomes:2017:ExAuMe</citationkey>
		<title>Extração automática de medidas em exames de ecocardiograma</title>
		<format>On-line</format>
		<year>2017</year>
		<numberoffiles>1</numberoffiles>
		<size>1079 KiB</size>
		<author>Gomes, Paulo Rodrigues,</author>
		<affiliation>Pessoa, Ramon Figueiredo</affiliation>
		<editor>Torchelsen, Rafael Piccin,</editor>
		<editor>Nascimento, Erickson Rangel do,</editor>
		<editor>Panozzo, Daniele,</editor>
		<editor>Liu, Zicheng,</editor>
		<editor>Farias, Mylène,</editor>
		<editor>Viera, Thales,</editor>
		<editor>Sacht, Leonardo,</editor>
		<editor>Ferreira, Nivan,</editor>
		<editor>Comba, João Luiz Dihl,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Schiavon Porto, Marcelo,</editor>
		<editor>Vital, Creto,</editor>
		<editor>Pagot, Christian Azambuja,</editor>
		<editor>Petronetto, Fabiano,</editor>
		<editor>Clua, Esteban,</editor>
		<editor>Cardeal, Flávio,</editor>
		<e-mailaddress>prxgomes@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 30 (SIBGRAPI)</conferencename>
		<conferencelocation>Niterói, RJ</conferencelocation>
		<date>Oct. 17-20, 2017</date>
		<booktitle>Proceedings</booktitle>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>echocardiogram, automatic extraction, pre-processing.</keywords>
		<abstract>The 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.</abstract>
		<language>pt</language>
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		<usergroup>prxgomes@gmail.com</usergroup>
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