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Authors
Affiliations
1 University of Canberra, University Drive, Bruce, ACT-2601, AU
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 3, No 2 (2011), Pagination: 212-222
Abstract
Diagnosis of some chest diseases like heart failure, lung cancer or lung tuberculosis, etc. is often based on chest X-ray images (CXR). The diseases are curable if they are detected in their early stages. Examining CXR is a time consuming process. In some cases, medical experts had overlooked the diseases in their firstexaminations on CXR, and when the images were reexamined, the disease signs could be detected.Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries.
A computer-aided diagnosis (CAD) system can mark suspected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention.
This paper reports our continuous work on the development of a CAD tool, which is an extended version of a conference paper [1]. In this version, we present some more works on CXR analysis and examination.
Keywords
Computer Aided Diagnosis, Automated Disease Diagnosis, Chest X-Ray Analysis, Watershed Segmentation, Cancer, Tuberculosis and Heart Failure Diseases.
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