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Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC) administrator
Metadata Last Update2016: (UTC) administrator
Citation KeyLimaFerrOliv:2015:AvDeAt
TitleAvaliação de Desempenho de Atributos de Textura 3D e Nitidez de borda 3D na recuperação de nódulos pulmonares similares
Access Date2022, Jan. 28
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Author1 Lima, Lucas Lins
2 Ferreira Junior, José Raniery
3 Oliveira, Marcelo Costa
Affiliation1 Universidade Federal de Alagoas (UFAL)
2 Universidade Federal de Alagoas (UFAL)
3 Universidade Federal de Alagoas (UFAL)
EditorVieira, Thales Miranda de Almeida
Mello, Vinicius Moreira
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-22 14:43:42 :: -> administrator ::
2016-06-03 21:18:37 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordsrecuperaçãoo de imagens baseada em conteúdo
unidade de processamento gráfico
AbstractThe lung cancer is the major causer of cancer worldwide and allied to this, medical imaging production has been increasingly growing in the medical field. To combat these two challenges, the Content-Based Image Retrieval (CBIR) tool can provide decision support to experts, enabling them find similar images in a database of images from a reference image. However, a crucial step of CBIR is the stage of Image Similarity Analysis (ISA), and one of the ISAs challenge is the processing time to perform all comparisons. This article presents a performance comparison between two techniques of attributes: 3D Texture Attributes and 3D Margin Sharpness, and also both concatenated, both in CPU and in GPU with the use of the OpenCL framework, and the Manhattan Distance to do the comparisons of similarity. > SDLA > SIBGRAPI 2015 > Avaliação de Desempenho...
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Target FileArtigo - Avaliação de performance de Atributos de Texura 3D e nitidez de Borda 3D na recuperação de nódulos pulmonares.pdf.pdf
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