Automatic prostate cancer detection using blood flow information in power doppler ultrasonography

Chuan Yu Chang, Ching Fong You, Yuh-Shyan Tsai

研究成果: Conference contribution

摘要

Compared with the benign prostate, the malignant prostate has higher peak systolic velocity, lower end diastolic velocity and resistance index. In these blood flow information, the end diastolic velocity is more consistent and significant. In this paper, an automatic prostate cancer detection using blood flow information in power Doppler ultrasonography is proposed. The prostate region was segmented semi-automatically by the active contour model. The average velocity, resistance index and end diastolic velocity obtained from left and right peripheral zone were combined to form a feature vector. Accordingly, a support vector machine is used to classify the prostate as malignant or benign. Experimental results demonstrate the effectiveness of the proposed approach.

原文English
主出版物標題Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
發行者IEEE Computer Society
頁面505-508
頁數4
ISBN(列印)9780769551203
DOIs
出版狀態Published - 2013 一月 1
事件9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 - Beijing, China
持續時間: 2013 十月 162013 十月 18

出版系列

名字Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013

Other

Other9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
國家China
城市Beijing
期間13-10-1613-10-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Signal Processing

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