A new computer-aided detection system for pulmonary nodules

A new computer-aided detection system for pulmonary nodules

Computer-aided detection (CAD) systems can help radiologists in early stage diagnosing of lung abnormalities. In this study, a new CAD system is presented by using wavelet transform for pulmonary nodule detection. Classification is performed by using kernels of support vector machines. Results are c...

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Bibliographische Detailangaben
Hauptverfasser: Tartar, A., Kilic, N., Olgun, D. C., Akan, A.
Format: Tagungsbericht
Sprache:eng ; tur
Schlagworte:
CAD system
Computed tomography
Design automation
Graphics
Kernel
Lungs
Medical diagnostic imaging
pattern recognition
Pulmonary nodule
support vector machine
wavelet transform
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Beschreibung
Zusammenfassung:Computer-aided detection (CAD) systems can help radiologists in early stage diagnosing of lung abnormalities. In this study, a new CAD system is presented by using wavelet transform for pulmonary nodule detection. Classification is performed by using kernels of support vector machines. Results are compared to similar works in the literature. Proposed CAD system results in 82.1% sensitivity.
DOI:10.1109/SIU.2013.6531293