Liver fibrosis identification based on ultrasound images

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 6317-6320

  Guitao, Cao ^b   Pengfei, Shi ^a,b   Bing, Hu ^b  

^a IEEE   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Edge co occurrence matrix; Fisher classifier; Fractal; Liver fibrosis; Support vector machine

Indexed keywords

EDGE CO-OCCURRENCE MATRIX; FIBROSIS IMAGES; FISHER CLASSIFIER; LIVER FIBROSIS; SCANNING FREQUENCY; SUPPORT VECTOR MACHINE;

BIOMEDICAL ENGINEERING; CLASSIFIERS; FEATURE EXTRACTION; FRACTALS; NONINVASIVE MEDICAL PROCEDURES; PATIENT TREATMENT; ULTRASONIC IMAGING;

MEDICAL PROBLEMS;

EID: 33846915192     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. K. Ogawa, M. Fukushima, K. Kubota, and N. Hisa, "Computer-aided diagnostic system for diffuse liver diseases with ultrasonography by neural network," IEEE Trans. Nucl. Sci., vol. 45, pp. 3069-3074, Dec. 1998.
2. C. M. Wu and Y. C. Chen, "Multi-threshold dimension vector for texture analysis and its application to liver tissue classification," Pattern Recogn., vol. 26, no. 1, pp. 137-144, Jan. 1993
3. A. Mojsilović, M. Popović, S. Marković, and M. Krstić, "Characterization of visually similar diffuse diseases from B-scan liver images using nonseparable wavelet transform," IEEE Trans. Med. Imag., vol. 17, pp. 541-549, Aug. 1998.
4. Y. M. Kadah, A. A. Farag, J. M. Zurada, A. M. Badawi, and A. M. Youssef, "Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images," IEEE Trans. Med. Imag., vol. 15, pp. 466-478, Aug. 1996.
5. W. C. Yeh, S. W. Huang, and P. C. Li, "Liver fibrosis grade classification with B-mode ultrasound", Ultrasound Med. Biol. vol. 29, pp:1229-1235, 2003.
6. B.B. Mandelbrot, "Fractal geometry of nature", CA: Freman, San Francisco, 1982.
7. N. Sarkar and B. B. Chaudhuri, "An efficient differential box-counting approach to compute fractal dimension of image," IEEE Trans. Syst., Man, Cybern., vol. 24, pp. 115-120, Jan. 1994.
8. J.F.Canny, "A computational approach to edge detection", IEEE Trans. Pattern Analysis, vol. 8, pp: 679-698, 1986.
9. Haralick R.M., Shanmugan K., Dinstein I. Texture feature for image classification. IEEE Tans. Syst Man Cybernetics. Vol. 3, pp:610-621, 1973.
10. Z. Q. Bian, X. G. Zhang et al., Pattern recogonition. 2nd ed, Beijing, Tsinghua University: pp. 87-90, 2000 (2).
11. Burges CJC. A tutorial on support vector machines for pattern recognition. Data Mining Knowledge Discovery. 2,pp: 955-974, 1998.
12. B. J. Oosterveld, J. M. Thijssen, P. C. Hartman, and G. J. E. Rosenbusch, "Detection of diffuse liver disease by quantative echography: Dependence on a priori choice of parameters," Ultrasound Med. Biol., vol. 19, no. 1, pp. 21-25, 1993.
13. M. Nadler and E. P. Smith, Pattern Recognition Engineering. New York: Wiley, 1993.