An expert system for the detection of cervical cancer cells using knowledge-based image analyzer

Artificial Intelligence in Medicine

Volumn 8, Issue 1, 1996, Pages 67-90

  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

Cervical cancer; Expert system; Knowledge based image analysis; Medical diagnosis

Indexed keywords

EXPERT SYSTEMS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MEDICAL IMAGING; ONCOLOGY; ROBUSTNESS (CONTROL SYSTEMS);

CERVICAL CANCER CELL DETECTION; KNOWLEDGE BASED IMAGE ANALYSIS;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; CYTOLOGY; EXPERT SYSTEM; HUMAN; HUMAN CELL; IMAGE ANALYSIS; PRIORITY JOURNAL; SURVIVAL; UTERINE CERVIX CANCER;

EID: 0030087599     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/0933-3657(95)00021-6     Document Type: Article

References (19)

1. M.C. Anderson, C.L. Brown, C.H. Buckley, H. Fox, D. Jenkins, and D.G. Lowe, Current views on cervical intraepithelial neoplasia, J. Clin. Pathol. 44 (1991) 969-978.
2. S.E. Armas, M.E. Warkentin and O.A. Armas, Expert systems in laboratory medicine, Artif. Intell. Med. 1 (1989) 79-85.
3. J.P. Baak, Basic points and practical aspects of the application of diagnostic morphometry, Pathol. Res. Practice 179 (1984) 193-199.
4. C.H. Buckley, E.B. Butler and H. Fox, Cervical intraepithelial neoplasia, J. Clin. Pathol. 35 (1982) 1-13.
5. R.O. Duda and P.E. Hart, Pattern Classification and Scene Analysis (Wiley, New York, 1973).
6. A. Ferenczy, Cervical intraepithelial neoplasia, in: A.Blaustein, ed., Pathology of the Female Genital Tract (Springer-Verlag, New York, 1982) 156-177.
7. L. Gong, C.A. Kulikowski and R.S. Mezrich, Knowledge-based experimental design for planning biomedical image analysis, in: K.C. Lun, ed., World Congress on Medical Informatics, MEDINFO '92 (Elsevier, Amsterdam, 1992) 628-634.
8. R.C. Gonzalez and P. Wintz, Digital Image Processing (Addison-Wesley, MA, 1987).
9. R.M. Haralick, Statistical and structural approaches to textures, Proc. IEEE 67 (1979) 786-804.
10. T.S. Huang, G.J. Yang and G.Y. Tang, A fast two-dimensional median filtering algorithm, IEEE Trans. Acoust. Speech Signal Process. ASSP-27, 1 (1979) 13-18.
11. S.M. Lai, X. Li and W.F. Bischof, Automated detection of breast tumors, in: A. Krzyzak, T. Kasvand and Y.S. Suen, eds., Computer Vision and Shape Recognition (World Scientific, Singapore, 1989) 115-132.
12. K.S. Leung, S.W.K. Chan and W.S.F. Wong, The integration of image diagnostic power into an object-oriented expert system shell, Proceedings of the 2nd Pacific Rim International Conference on Artificial Intelligence (Korea, 1992) 810-816.
13. K.S. Leung, Y.T. So, A. Leung and W.S.F. Wong, A fuzzy expert system shell: From minicomputer to PC, Artif. Intell. Med. 4 (1992) 75-85.
14. K.S. Leung and M.H. Wong, An expert system shell using structured knowledge, IEEE Computer 23 (1990) 38-47.
15. W.K. Pratt, Digital Image Processing (John Wiley, New York, 1991).
16. P. Perner, Application of knowledge-based image inspection system for diagnosis of misprints in offset printing, Proceedings of Computer Analysis and Image Processing, Vol. 719 (Springer-Verlag, New York, 1993) 738-749.
17. U. Shani, Filling regions in binary raster images: A graphtheoretic approach, Computer Graphic, SIGGRAPH '80, Conference Proceedings 14 (1980) 321-327.
18. H.J. Soost, Possibilities of quality control in diagnostic cytology, in: E. Grundmann, ed., Cancer Campaign (Vol. 8) Cancer of the Uterine Cervix (Stuttgart, New York, 1985) 116-121.
19. C.W.G. Wai, Morphometric studies of intraepithelial neoplasia and associated lesions in the cervix uteri and the nasopharynx (M.Phil, thesis, Chinese University of Hong Kong, 1990).