Characterization of CT Liver Lesions Based on Texture Features and a Multiple Neural Network Classification Scheme

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

Volumn 2, Issue , 2003, Pages 1287-1290

  Mougiakakou, S Gr ^a   Valavanis, I ^a   Nikita, K S ^a   Nikita, A ^b   Kelekis, D ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

Author keywords

Genetic algorithm; Liver CT images; Multiple neural network classification; Texture features; Voting scheme

Indexed keywords

BACKPROPAGATION; BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; STATISTICS; TEXTURES;

MULTIPLE NEURAL NETWORK CLASSIFICATION; TEXTURE FEATURES;

MEDICAL IMAGING;

EID: 1542271673     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. H. M. Taylor, P. R. Ros, "Hepatic imaging: An overview," Radiol. Clinics of North America, vol.36, no. 2, March 1998.
2. Y. N. Sun, M. H. Horng, X. Z. Lin, J. Y. Wang, "Ultrasonic image analysis for liver diagnosis," IEEE Engin. Med. Biol., vol. 11-12, pp. 93-101, 1996.
3. H. Sujana, S. Swarnamani, S. Suresh, "Application of artificial neural networks for the classification of liver lesions by image texture parameters," Ultras. Med. Biol., vol. 22, no. 9, pp. 1177-1181, 1996.
4. Y. M. Kadah, A. A. Frag, J. M. Zurada, A. M. Badawi, A.-B. M. Youssef, "Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images," IEEE Trans. Med. Imag., vol. 15, no. 4, pp. 466-478, 1996.
5. C.-M. Wu, Y.-C. Chen, "Texture features for classification of ultrasonic liver images," IEEE Trans. Med. Imag., vol. 11, no. 2, pp. 141-152, 1992.
6. A. H. Mir, M. Hanmandlu, S. N. Tandon, "Texture analysis of CT images," IEEE Eng. Med. Biol. Mag., vol. 14, no. 6, pp. 781-786, Nov/Dec 1995.
7. E. L. Chen, P-C. Chung, C. L. Chen, H. M. Tsa, C. I. Chang, "An automatic diagnostic system for CT liver image classification," IEEE Trans. Biomed. Eng., vol. 45, no. 6, pp. 783-794, 1998.
8. M. Gletsos, S. G. Mougiakakou, G. K. Matsopoulos, K. S. Nikita, A. Nikita, D. Kelekis, "A computer-aided diagnostic system to characterize CT focal liver lesions: Design and optimization of a neural network classifier," IEEE Trans. Inform. Techn. Biomed., in press, 2003.
9. R. M. Haralick, L. G. Shaphiro, Computer and Robot Vision, vol. I. Addison-Wesley Publishing Company, 1992.
10. R. M. Haralick, K. Shanmugan, I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man, Cybern., vol. 3, no. 6, pp. 610-622, 1973.
11. J. S. Weszka, C. R. Dryer, A. Rosenfeld, "A comparative study of texture measures for terrain classification," IEEE Transaction on System, Man, and Cybernetic, vol. SMC-6, pp. 269-285, 1976.
12. K. I. Laws, "Rapid texture identification," Proceedings of the SPIE Conference for Missile Guidance, vol. 238, pp. 376-380, 1980.
13. D. Goldberg, Genetic algorithms in search, optimization and machine learning, Addison-Wesley, 1989.
14. S. Haykin, Neural networks: A comprehensive foundation, Prentice-Hall, 1999.
15. A. K. Jerebko, J. D. Malley, M. Franaszek, R. M. Summers, "Multiple neural network classification scheme for detection of colonic polyps in CT colonography data sets," Academic Radiology, vol. 10, no. 2, pp. 154-160, 2003.