Continuous class pattern recognition for pathology, with applications to non-Hodgkin's follicular lymphomas

Pattern Recognition

Volumn 29, Issue 12, 1996, Pages 2061-2078

  Firestone, Lawrence M ^a,c   Preston Jr , Kendall ^a   Nathwani, Bharat N ^b,d  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c GDE Systems Inc   (United States)

^d CITY OF HOPE NATIONAL MEDICAL CENTER   (United States)

Author keywords

Continuous class pattern recognition; Diagnostic imaging; Image processing, computer assisted; Lymphoma, follicular; Lymphoma, non Hodgkin's; Pathology, clinical; Pattern recognition; Regression

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISEASES; ERROR COMPENSATION; IMAGE PROCESSING; REGRESSION ANALYSIS; TEMPERATURE MEASUREMENT;

CONTINUOUS CLASS PATTERN RECOGNITION; DIAGNOSTIC IMAGING; LYMPHOMA, FOLLICULAR; PATHOLOGY, CLINICAL;

PATTERN RECOGNITION;

EID: 0030410514     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(96)00045-3     Document Type: Article

References (30)

1. I. T. Magrath, The non-Hodgkins lymphomas: An introduction, in: The Non-Hodgkin's Lymphomas, I. T. Magrath, ed, Williams and Wilkins, Baltimore (1990).
2. National Cancer Institute (U.S.) Field Studies and Statistics Program, Annual Report (1992).
3. C. S. Rabkin, R. J. Biggar and J. W. Horn, Increasing incidence of cancers associated with the human immunodeficiency virus epidemic, Int. J. Cancer 47, 692-696 (1991).
4. B. N. Nathwani, A critical analysis of the classifications of non-Hodgkin's lymphomas, Cancer 44, 347-384 (1979).
5. D. L. Longo and W. Wilson, Follicular Lymphomas. in: The Non-Hodgkin's Lymphomas, I.T. Magrath, ed, pp. 293-309. Williams and Wilkins, Baltimore (1990).
6. R. I. Fisher, Non-Hodgkin's lymphomas, in: Manual of Oncologic Therapeutics 1989/1990, R. E. Wittes, ed, pp. 374-381. Lippincott, Philadelphia (1989).
7. G. E. Metter, B. N. Nathwani, J. S. Burke, C. D. Winberg, R. B. Mann, M. Barcos, C. R. Kjeldsberg, C. C. Whitcomb, D. O. Dixon and T. P. Miller, Morphological subclassification of follicular lymphoma: Variability of diagnoses among hematopathologists: A collaborative study between the repository center and pathology panel for lymphoma clinical studies, J. Clin. Oncol. 3, 25-38 (1985).
8. R. B. Mann and C. W. Berard, Criteria for the cytologic subclassification of follicular lymphomas: A proposed alternative method, Hematol. Oncol. 1, 187-192 (1983).
9. R. O. Duda and P. E. Hart, Pattern Recognition and Scene Analysis. Wiley-Interscience, New York (1973).
10. A. L. Edwards, An Introduction to Linear Regression and Correlation. W. H. Freeman and Company, San Francisco (1976).
11. K. Fukunaga, Introduction to Statistical Pattern Recognition (2nd Edn). Academic Press, New York (1990).
12. J. E. Freund and R. E. Walpole, Mathematical Statistics (3rd Edn). Prentice Hall, Englewood Cliffs, NJ (1980).
13. D. Graham and P. E. Norgren, The diff3 analyzer, in: Real-Tune Medical Image Processing, M. Onoe, K. Preston Jr. and A. Rosenfeld, eds, Plenum, New York (1980).
14. A. Kaufman, B. N. Nathwani and K. Preston, Jr. Subclassification of follicular lymphomas by computerized microscopy, Hum. Pathol. 18(3), 226-231 (1987).
15. N. G. Link, B. N. Nathwani and K. Preston, Jr. Subclassification of follicular lymphomas by computerized image processing, Analyt. Quant. Cytol. Histol. 11, 119-130 (1989).
16. N. G. Link, Automated subclassification of Non-Hodgkin's Lymphomas, Ph.D. Dissertation, Carnegie Mellon University, Pittsburgh, PA (1987).
17. K. I. Laws, Textured Image Segmentation, Report 940, University of Southern California Image Processing Institute, Los Angeles (1980).
18. R. M. Haralick, A resolution preserving textural transform for images, Proc. IEEE Conf. on Computer Graphics, Pattern Recognition, and Data Structures, Beverly Hills, 51-61 (1975).
19. R. M. Haralick, Statistical and structural approaches to texture, Proc. IEEE 67(5), 786-804 (1979).
20. N. Ahuja and A. Rosenfeld, Mosaic models for textures, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-3(1), 1-11 (1981).
21. C. Sun and W. G. Wee, Neighboring gray level dependence matrix for texture classification, Comput. Vis. Graphics and Image Process. 23, 341-352 (1983).
22. J. S. Weszka, C. R. Dyer and A. Rosenfeld, A comparative study of texture measures for terrain classification, IEEE Trans. Syst. Man Cybernet. SMC-6(4), 269-285 (1976).
23. S. M. Kay, Modern Spectral Estimation: Theory and Application, Prentice Hall, Englewood Cliffs, NJ (1988).
24. S. L. Marple Jr., Digital Spectral Analysis: With Applications. Prentice Hall, Englewood Cliffs, NJ (1987).
25. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals. Prentice Hall, Englewood Cliffs, NJ (1978).
26. K. Preston Jr., L. M. Firestone and B. N. Nathwani, Use of three dimensional mathematical morphology in analyzing histologic images, with application to the subtyping of follicular lymphomas, Analyt. Quant. Cytol Histol. 12(6), 399-416 (1990).
27. L. M. Firestone, Continuous Class Pattern Recognition and Image Processing for Lymph Node Cancer Diagnosis, Ph.D. Dissertation, Carnegie Mellon University (1990).
28. K. Preston Jr., Ξ-Filters, IEEE Trans. Acoustics Speech Sig. Proc., ASSP-31(4), 861-876 (1983).
29. U. de Meester, I. T. Young, J. Lindeman and H. C. van der Linden, Towards a quantitative grading of bladder tumors, Cytometry 12, 602-613 (1991).
30. W. H. Coulter, High speed automatic blood cell counter and cell size analyzer, Proc. National Electronics Conference, Hotel Sherman, Chicago, Illinois, 12, 1034-1042 (1956).