Automated detection of infiltration and cavitation in digital chest radiographs of chronic pulmonary tuberculosis

Author

Sarkar, S. ; Chaudhuri, S.

Author_Institution

Indian Inst. of Technol., Bombay, India

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1185

Abstract

Digital chest radiographs are processed to locate the different anatomical regions of interest, and to enhance the abnormal features in lung fields. These abnormal features are analyzed based on the knowledge of the distinguishing characteristics of the abnormal features which are radiologically observed in cases of chronic pulmonary tuberculosis. In this report the two major features-infiltration and cavitation have been considered

Keywords

diagnostic radiography; feature extraction; image enhancement; lung; medical image processing; abnormal features; abnormal features enhancement; anatomical regions of interest; chronic pulmonary tuberculosis; digital chest radiographs; distinguishing characteristics; medical diagnostic imaging; Availability; Biomedical computing; Cardiac disease; Cardiovascular diseases; Computer science education; Diagnostic radiography; Heart rate detection; Lesions; Lungs; Medical services;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.652765

Filename

652765