Detalhes bibliográficos
| Ano de defesa: |
2013 |
| Autor(a) principal: |
Silva, Keila Sousa
 |
| Orientador(a): |
Oliveira, Leandro Luís Galdino de
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| Banca de defesa: |
Oliveira, Leandro Luís Galdino de,
Oikawa, Márcio Katsumi,
Spoto, Edmundo Sérgio |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal de Goiás
|
| Programa de Pós-Graduação: |
Programa de Pós-graduação em Ciência da Computação (INF)
|
| Departamento: |
Instituto de Informática - INF (RG)
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/3136
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Resumo: |
This study aims to optimize runtime performance of a system developed to aid the diagnosis of childhood pneumonia by computer. This system, called Pneumocad according Macedo (2012), aims to identify chest radiographs consistent with the disease using computational techniques for recognizing patterns in textures through decomposition of the transformed wavelets, features extracted from the decomposition and classi cation applied to radiographs. In pursuit of this optimization in terms of performance at runtime, insertion of new rays and the recovery of their radiographs similar, we used the proposed deployment of a cluster architecture of radiographs already stored in the database Pneumocad. In parallel , functionality, responsible for de ning how a radiograph is similar to another , were transferred from the source code Java to views in the database. The experiments were performed on databases that contained 183, 2.568 and 10.200 radiographs and using the Pneumo- cad of Macedo (2012) , the Pneumocad Optimized with views and without grouping and Pneumocad Optimized with views and grouping. The experiments and results show that the proposed optimization contributed to the evolution of Pneumocad and enhanced this tool to support the diagnosis of pneumonia in childhood. |
