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

Chuan Yu Chang; Ching Fong You; Yuh Shyan Tsai

doi:10.1109/IIH-MSP.2013.131

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

Chuan Yu Chang, Ching Fong You, Yuh Shyan Tsai

泌尿學科

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	https://doi.org/10.1109/IIH-MSP.2013.131
出版狀態	Published - 2013 1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 10月 16 → 2013 10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

Other	9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
國家/地區	China
城市	Beijing
期間	13-10-16 → 13-10-18

All Science Journal Classification (ASJC) codes

人工智慧
資訊系統
訊號處理

UN SDG

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10.1109/IIH-MSP.2013.131

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Chang, C. Y., You, C. F., & Tsai, Y. S. (2013). Automatic prostate cancer detection using blood flow information in power doppler ultrasonography. 於 Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 (頁 505-508). 文章 6846687 (Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013). IEEE Computer Society. https://doi.org/10.1109/IIH-MSP.2013.131

Chang, Chuan Yu ; You, Ching Fong ; Tsai, Yuh Shyan. / Automatic prostate cancer detection using blood flow information in power doppler ultrasonography. Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013. IEEE Computer Society, 2013. 頁 505-508 (Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013).

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title = "Automatic prostate cancer detection using blood flow information in power doppler ultrasonography",

abstract = "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.",

author = "Chang, {Chuan Yu} and You, {Ching Fong} and Tsai, {Yuh Shyan}",

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Chang, CY, You, CF & Tsai, YS 2013, Automatic prostate cancer detection using blood flow information in power doppler ultrasonography. 於 Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013., 6846687, Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013, IEEE Computer Society, 頁 505-508, 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013, Beijing, China, 13-10-16. https://doi.org/10.1109/IIH-MSP.2013.131

Automatic prostate cancer detection using blood flow information in power doppler ultrasonography. / Chang, Chuan Yu; You, Ching Fong; Tsai, Yuh Shyan.
Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013. IEEE Computer Society, 2013. p. 505-508 6846687 (Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013).

研究成果: Conference contribution

TY - GEN

T1 - Automatic prostate cancer detection using blood flow information in power doppler ultrasonography

AU - Chang, Chuan Yu

AU - You, Ching Fong

AU - Tsai, Yuh Shyan

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

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Chang CY, You CF, Tsai YS. Automatic prostate cancer detection using blood flow information in power doppler ultrasonography. 於 Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013. IEEE Computer Society. 2013. p. 505-508. 6846687. (Proceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013). doi: 10.1109/IIH-MSP.2013.131

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

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