DocumentCode
2483324
Title
Chest X-ray analysis for an active distributed E-health system with computer-aided diagnosis
Author
Le, Kim
Author_Institution
Fac. of Inf. Sci. & Eng., Univ. of Canberra, Bruce, ACT, Australia
fYear
2010
fDate
Nov. 30 2010-Dec. 2 2010
Firstpage
727
Lastpage
732
Abstract
The quality of life of a country´s citizens is much depended on its healthcare system. People have the right to know the status of their health. Healthcare providers need to know the medical histories of patients to offer better treatment. Therefore, demand for improvement in the access of healthcare information has been increased. This paper presents the design of an active distributed E-health system, which is scalable, and more advanced softwares can be easily added. Some works on chest X-ray analysis are presented to demonstrate the capabilities of the system as CAD tools for some chest diseases like congestive heart failure, lung collapse, etc. Experimental result obtained with an algorithm to detect early nodules for lung cancer and TP is very encouraging. Data mining and other artificial intelligent techniques may be used to make the system becoming more active and powerful expert system.
Keywords
X-ray imaging; computer aided analysis; data mining; diseases; health care; medical image processing; patient diagnosis; patient treatment; active distributed e-health system; artificial intelligent technique; chest X-ray analysis; chest disease; computer aided diagnosis; data mining; healthcare system; life quality; patient medical history; patient treatment; Databases; Heart; Lungs; Medical diagnostic imaging; Medical services; Pixel; Artificial intelligence; Computer aided diagnosis; Data mining; Distributed system; E-health;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Sciences and Convergence Information Technology (ICCIT), 2010 5th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-8567-3
Electronic_ISBN
978-89-88678-30-5
Type
conf
DOI
10.1109/ICCIT.2010.5711149
Filename
5711149
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