@InProceedings{PessoaSilv:1993:MeDiAu,
author = "Pessoa, L{\'u}cio Fl{\'a}vio Cavalcanti and Silva, Ascendino
Fl{\'a}vio Dias e",
affiliation = "{Departamento de Eletr{\^o}nica e Sistemas do Centro de
Tecnologia da Universidade Federal de Pernambuco (UFPE)} and
{Departamento de Eletr{\^o}nica e Sistemas do Centro de
Tecnologia da Universidade Federal de Pernambuco (UFPE)}",
title = "Uma metodologia para diagn{\'o}stico autom{\'a}tico da filariose
utilizando imagens microsc{\'o}picas digitalizadas",
booktitle = "Anais...",
year = "1993",
editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
pages = "333--342",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 6. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "morfologia matem{\'a}tica, reconhecimento de padr{\~o}es,
an{\'a}lise de imagens, imagens m{\'e}dicas, diagn{\'o}stico
autom{\'a}tico da filariose.",
abstract = "This paper describes a methodology for automatic diagnosis of
filariasis, a tropical disease that represents a serious health
problem in the State of Pernambuco, Northeast of Brazil. The
medical diagnosis of filariasis is made scanning blood samples
under an optical microscope and counting the number of a
microscopic warm, commonly known as microfilariae. The methodology
is based on the theories of Mathematical Morphology and Pattern
Recognition and uses digital microscopic images, with resolution
640x480x64, as inputs. Using a training set with 56 patterns, the
automatic recognition of microfilariaes was performed by a Linear
Discriminant Function with 4 features only, and the automation
viability of this diagnosis was finally confirmed through the
excellent classification results.",
conference-location = "Recife, PE, Brazil",
conference-year = "19-22 Oct. 1993",
isbn = "978-85-7669-271-3",
language = "pt",
ibi = "8JMKD3MGPBW34M/3D85S8P",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3D85S8P",
targetfile = "39 Uma metodologia para diagnostico automatico.pdf",
type = "Imagens M{\'e}dicas",
volume = "1",
urlaccessdate = "2024, Apr. 29"
}