Distinguishing normal and pulmonary edema chest x-ray using Gabor filter and SVM

Atul Kumar, Yen Yu Wang, Kai Che Liu, I. Chen Tsai, Ching-Chun Huang, Nguyen Hung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Pulmonary edema, i.e. excess of extravascular fluid in lungs, is a common manifestation of various clinical conditions. Although the etiology of the pulmonary edema is deduced with the help of history, physical examination and various biochemical and radiological investigations, computer aided evaluation of pulmonary edema will be helpful for physicians in determining the course of management for the condition. In this study we present texture analysis of chest x-ray, using Gabor filter and one of the machine learning techniques, Support Vector Machine (SVM), to distinguish the normal chest x-ray from the chest x-ray of pulmonary edema. This is an initial step towards computer aided quantitative assessment of the pulmonary edema using chest x-ray.

Original languageEnglish
Title of host publication2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
PublisherIEEE Computer Society
ISBN (Print)9781479927708
DOIs
StatePublished - 1 Jan 2014
Event2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 - Chung Li, Taiwan
Duration: 11 Apr 201414 Apr 2014

Publication series

Name2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014

Conference

Conference2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014
CountryTaiwan
CityChung Li
Period11/04/1414/04/14

Keywords

  • Gabor filter
  • pulmonary edema
  • SVM
  • texture lungs

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    Kumar, A., Wang, Y. Y., Liu, K. C., Tsai, I. C., Huang, C-C., & Hung, N. (2014). Distinguishing normal and pulmonary edema chest x-ray using Gabor filter and SVM. In 2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014 [6820918] (2014 IEEE International Symposium on Bioelectronics and Bioinformatics, IEEE ISBB 2014). IEEE Computer Society. https://doi.org/10.1109/ISBB.2014.6820918