@InProceedings{LimaFerrOliv:2015:AvDeAt,
author = "Lima, Lucas Lins and Ferreira Junior, Jos{\'e} Raniery and
Oliveira, Marcelo Costa",
affiliation = "{Universidade Federal de Alagoas (UFAL)} and {Universidade Federal
de Alagoas (UFAL)} and {Universidade Federal de Alagoas (UFAL)}",
title = "Avalia{\c{c}}{\~a}o de Desempenho de Atributos de Textura 3D e
Nitidez de borda 3D na recupera{\c{c}}{\~a}o de n{\'o}dulos
pulmonares similares",
booktitle = "Proceedings...",
year = "2015",
editor = "Vieira, Thales Miranda de Almeida and Mello, Vinicius Moreira",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "recupera{\c{c}}{\~a}oo de imagens baseada em conte{\'u}do,
unidade de processamento gr{\'a}fico.",
abstract = "The 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.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "pt",
ibi = "8JMKD3MGPBW34M/3JT4K98",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JT4K98",
targetfile = "Artigo - Avalia{\c{c}}{\~a}o de performance de Atributos de
Texura 3D e nitidez de Borda 3D na recupera{\c{c}}{\~a}o de
n{\'o}dulos pulmonares.pdf.pdf",
urlaccessdate = "2024, Apr. 27"
}