Automatic segmentation of the lungs in chest computed tomography

Main Article Content

Marta Rosecler Bez, Mag
Ricardo Ferreira de Oliveira
Rodrigo Freiberger Rönnau
Jéferson Cristiano Flores

Abstract

Among the tests that help health professionals and allow the application of computer systems is the Computed Tomography (CT). This article presents the development of a software prototype that can automatically segment the lungs in computed tomography images of the chest. The validation process applied the method on 569 images and showed a success rate of 94,38%. For the cases of error in the process, their causes are shown and enhancements to the prototype are discussed.

Downloads

Download data is not yet available.

Article Details

How to Cite
Bez, Mag, M. R. ., Ferreira de Oliveira, R. ., Freiberger Rönnau, R. ., & Flores, J. C. . (2015). Automatic segmentation of the lungs in chest computed tomography. I+ T+ C- Research, Technology and Science, 1(9), 105–114. Retrieved from https://revistas.unicomfacauca.edu.co/ojs/index.php/itc/article/view/itc2015_pag_105_114
Section
Research Papers