Utilização do active shape model para análise de imagens médicas: localização do pulmão de crianças em radiografias para auxiliar no diagnóstico de pneumonia
Nenhuma Miniatura disponível
Data
2017-04-13
Autores
Título da Revista
ISSN da Revista
Título de Volume
Editor
Universidade Federal de Goiás
Resumo
Contextualization: Technologies like CAD systems, become ideal as a second opinion,
that is, to work in partnership with the doctor. For example, PneumoCAD can be used
to perform a diagnosis of absence or absence of pneumonia in children 1 to <5 years
of age using X-ray radiographs. Problems: However, the use of PneumoCAD requires a
region of interest, referring to the lungs, manually. Based on difficulty and difficulty, we
sought a solution that was not found in any research, applied to radiographs, involving
PneumoCAD, through the active model, having as a patient children between the ages
of 1 and <5 years. Proposal: It is then proposed the use of the active model, associated
with the technique developed and called nsAlterar in improvement to segmentation based
on ns
. Materials and Methods: Fifty-six “padrão ouro” radiographs were submitted to
MATLAB, in 8 steps, through modified and improved algorithms, as well as implemented
support tools, such as: As well as measures of similarity to investigate quantitatively , On
an efficiency of all resources employed for the same purpose. Results: With this question,
we obtained, after an analysis of the experiments, a taxon of hits for the right of spraying
75.61% and for the left one in 63.41%, in which nsAlterar promoted the improvement
in the distributions, even if They were not segmented correctly, through approximations
properly. Conclusions: Based on the active model associated with nsAlterar and other
resources, it was possible to complement a functionality of the PneumoCAD system,
through the use of segmentation in reais, thus contributing to a higher efficiency and
better results.
Descrição
Citação
FREIRE SOBRINHO, P. Utilização do active shape model para análise de imagens médicas: localização do pulmão de crianças em radiografias para auxiliar no diagnóstico de pneumonia. 2017. 292 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2017.