Object-oriented knowledge-based system for image diagnosis

Applied Artificial Intelligence

Volumn 10, Issue 5, 1996, Pages 407-438

  Chan, Samuel W K ^a   Leung, K S ^b   Wong, W S Felix ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER CELL LESION CLASSIFICATION; IMAGE DIAGNOSIS SYSTEM; IMAGE RECOGNITION; OBJECT ORIENTED KNOWLEDGE BASED SYSTEM;

COMPUTER VISION; IMAGE ANALYSIS; IMAGE PROCESSING; KNOWLEDGE ENGINEERING; MEDICAL IMAGING; OBJECT ORIENTED PROGRAMMING; OBJECT RECOGNITION; ROBUSTNESS (CONTROL SYSTEMS);

KNOWLEDGE BASED SYSTEMS;

EID: 0030231196     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/088395196118489     Document Type: Article

References (32)

1. Anderson, M. C. 1987. Premalignant and malignant disease of the cervix. In Haines and Tayler Obstetrical and Gynaecological Pathology, 3rd ed. Churchill, Livingstone.
2. Arman, F., and J. K. Aggarwal. 1993. CAD-based vision-Object recognition in cluttered range images using recognition strategies. CVGIP-Image Understanding 58(1): 33-48.
3. Baak, J. P. A. 1984. Basic points in and practical aspects of the application of diagnostic morphometry. Pathology Research Practice 179: 193-199.
4. Ballard, D. H., and Brown, C. M. 1982. Computer vision. Englewood Cliffs, N.J.: Prentice-Hall.
5. Barrow, H. G., and J. M. Tenenbaum. 1976. MSYS: A system for reasoning about scenes. Technical Note 121, SRI International.
6. Bhanu, B., and O. D. Faugeras. 1984. Shape matching of two-dimensional objects. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-6: 137-156.
7. Binford, T. O. 1982. Survey of model-based image analysis systems. International Journal of Robotics Research 1: 18-64.
8. Brooks, R. A. 1984. Model-based computer vision. UMI Research Press.
9. Buckley, C. H., E. B. Butler, and H. Fox. 1982. Cervical intraepithelial neoplasia. Journal of Clinical Pathology 35: 1-13.
10. Cowell, J. R. 1995. Syntactic pattern recognizer for vehicle identification numbers. Image and Vision Computing 13(1): 13-19.
11. Faugeras, O. 1993. Three-dimensional computer vision: A geometric viewpoint. Cambridge, Mass.: MIT Press.
12. Ferenczy, A. 1982. Cervical intraepithelial neoplasia. In A. Blaustein (ed.), Pathology of the female genital tract, 156-177. New York: Springer-Verlag.
13. Fu, K. S. 1982. Syntactic pattern recognition and applications. Englewood Cliffs, N.J.: Prentice-Hall.
14. Gonzalez, R. C., and P. Wintz. 1987. Digital image processing. Reading, Mass.: Addison-Wesley.
15. Haralick, R. M. 1979. Statistical and structural approaches to textures. Proceedings of the IEEE 67: 786-804.
16. Huang, T. S., G. J. Yang, and G. Y. Tang. 1979. A fast two-dimensional median filtering algorithm. IEEE Transactions on Acoustics, Speech and Signal Processing ASSP-27(1): 13-18.
17. Jumarie, G. 1994. Information similarity of graphs in syntactic pattern recognition. Pattern Recognition Letters 15(12): 1177-1181.
18. Lai, S. M., X. Li, and W. F. Bischof. 1989. Automated detection of breast tumors. In A. Krzyzak, T. Kasvand, and Y. S. Suen (eds.), Computer vision and shape recognition, 115-132. River Edge, N.J.: World Scientific Press.
19. Leung, K. S., S. W. K. Chan, and W. S. F. Wong. 1992. The integration of image diagnostic power into an object-oriented expert system shell. In Proceedings of the 2nd Pacific Rim International Conference on Artificial Intelligence, Korea, 810-816.
20. Leung, K. S., and M. H. Wong. 1990. An expert-system shell using structured knowledge. IEEE Computer 23: 38-47.
21. Lin, W., and K. S. Fu. 1984. A syntactic approach to 3-D object representation. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-6: 351-364.
22. Mckeown, D. A., W. A. Harvey, and J. Mcdermott. 1985. Rule-based interpretation of aerial imagery. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-7: 570-585.
23. Nagao, M., and T. Matsuyama. 1980. A structural analysis of complex aerial photographs. New York: Plenum.
24. Nazif, A., and M. D. Levine. 1984. Low level image segmentation: An expert system. IEEETransactions on Pattern Analysis and Machine Intelligence PAMI-6: 555-777.
25. Perkins, W. A. 1983. INSPECTOR: A computer vision system that learns to inspect parts. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-5: 584-593.
26. Perner, P. 1993. Application of knowledge-based image inspection system for diagnosis of misprints in offset printing. Proceedings of Computer Analysis and Image Processing 719: 738-749.
27. Petkovic, D., and F. B. Hinkle. 1987. A rule-based system for verifying engineering specification industrial visual inspection applications. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-9: 306-311.
28. Reiss, T. H. 1993. Recognising planar objects using invariant image features. New York: Springer-Verlag.
29. Reiter, R., and A. K. MacKworth. 1989. A logical framework for depiction and image interpretation. Artificial Intelligence 41: 125-155.
30. Tanaka, E. 1995. Theoretical aspects of syntactic pattern recognition. Pattern Recognition 28(7): 1053-1061.
31. Wai, C. W. G. 1990. Morphometric studies of intraepithelial neoplasia and associated lesions in the cervix uteri and the nasopharynx, M. Phil, thesis, Division of Clinical and Pathological Science, Chinese University of Hong Kong.
32. Wong, W. S. F., K. S. Leung, and Y. T. So. 1990. The recent development and evaluation of a medical expert system (ABVAB). International Journal of Bio-medical Computing 25: 223-229.