DocumentCode
2375117
Title
A new computer-aided detection system for pulmonary nodules
Author
Tartar, A. ; Kilic, N. ; Olgun, D.C. ; Akan, A.
Author_Institution
Muhendislik Bilimleri Bolumu, Istanbul Univ., Avcılar, Turkey
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
image classification; lung; medical image processing; object detection; radiology; support vector machines; wavelet transforms; CAD system; computer-aided detection system; early stage diagnosis; image classification; lung abnormality; pulmonary nodule detection; radiology; support vector machine kernels; wavelet transform; Computed tomography; Design automation; Graphics; Kernel; Lungs; Medical diagnostic imaging; CAD system; Pulmonary nodule; pattern recognition; support vector machine; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location
Haspolat
Print_ISBN
978-1-4673-5562-9
Electronic_ISBN
978-1-4673-5561-2
Type
conf
DOI
10.1109/SIU.2013.6531293
Filename
6531293
Link To Document