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Automatic screening for tuberculosis in chest radiographs: a survey.
Stefan Jaeger1, Alexandros Karargyris, Sema Candemir
1National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA;
Quantitative Imaging in Medicine and Surgery
|May 1, 2013
Summary
Computer-aided detection systems show promise for tuberculosis screening using chest X-rays. This technology aims to support inexpensive mass screening, especially in developing nations, addressing a significant global health challenge.
Area of Science:
- Medical imaging analysis
- Computer-aided diagnosis
- Public health technology
Background:
- Tuberculosis (TB) poses a major global health threat, with widespread infection.
- Effective and affordable mass screening methods are crucial, particularly in developing countries.
- Advancements in computing power and software enable new diagnostic approaches.
Purpose of the Study:
- To review the medical background of tuberculosis detection in chest X-rays.
- To survey recent computer-aided detection (CAD) approaches for TB screening.
- To assess the progress and challenges in developing CAD systems for TB.
Main Methods:
- Comprehensive literature search of computer science and medical imaging research (1996-2013).
- Identification and analysis of 16 relevant research papers on TB detection systems.
- Description of experimental screening systems developed.
Main Results:
- Tuberculosis screening using chest X-rays is a complex and ongoing research problem.
- Various computer-aided detection methods have been explored.
- Experimental systems demonstrate progress in the field.
Conclusions:
- Computer-aided detection holds potential for improving tuberculosis screening efficiency.
- Further research and development are needed to overcome challenges in TB detection.
- These systems could facilitate cost-effective mass screening programs.
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