Desenvolvimento de um Sistema de Auxílio ao Diagnóstico de Pneumonia na Infância Utilizando Visão Computacional
Carregando...
Data
2012-03-22
Autores
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de Goiás
Resumo
This work aims to develop a system to aid in the diagnosis of pneumonia by computer, termed
pneumocad, which aims to identify chest radiographies compatible with the disease.
Techniques were used for the recognition of patterns in textures through the decomposition
of the wavelet transforms of the features extracted from the decomposition and classification
applied to radiography. We analyzed 166 images in digital radiography "gold
standard", previously confirmed by two radiologists trained according to WHO guidelines
as Pneumonia Present (PP = 83) and Pneumonia Absent (PA = 83). In both methods
were investigated which feature best applies to the recognition of patterns and textures in
which the best performance of the classifier K-NN method. The procedure began with the
application of the Haar Wavelet Transform and the extraction of characteristics of each
radiograph 17 that were stored descriptors. The methodology I tested the increase in classification
accuracy, balanced with increasing the amount of radiographies of each class.
The methodology II tested the ability of K-NN to generate ratings at acceptable levels
with the unbalance of the random number of images between the two classes. There was
obtained an average of accuracy of 91.75% with emphasis on the difference of characteristic
variance performance and the K-NN was more effective when the number of nearest
neighbors is K=9. The results are considered promising because the pneumocad can be
a useful tool in the diagnosis of childhood pneumonia, combining the knowledge manmachine
and providing conditions for the interpretation of chest radiographs in the "gold
standard", according to WHO specifications. In addition, the software can be a new technology
in health, to provide health managers and policymakers a tool for epidemiological
monitoring and control of pneumonia in real time, producing benefits for organizations
and decisions related health services.
Descrição
Palavras-chave
CBIR , Pneumonia , Textura , Wavelet , radiografia , CBIR , Pneumonia , Texture , Wavelet , Radiography
Citação
MACEDO, Sanderson Oliveira de. Development of a System of Aid to the Diagnosis of Pneumonia in Children Using Computer Vision. 2012. 50 f. Dissertação (Mestrado em Ciências Exatas e da Terra - Ciências da Computação) - Universidade Federal de Goiás, Goiânia, 2012.