Computer-assisted interpretation of flow cytometry data in hematology

Cytometry

Volumn 23, Issue 2, 1996, Pages 140-149

  Thews, Oliver ^a   Thews, Anne ^a   Huber, Christoph ^a   Vaupel, Peter ^a  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

Author keywords

Acute leukaemia; Artificial intelligence; Computer assisted diagnosis; Expert system; Non Hodgkin lymphoma; Semantic network

Indexed keywords

ACUTE LEUKEMIA; ARTICLE; ARTIFICIAL INTELLIGENCE; B CELL LYMPHOMA; COMPUTER PROGRAM; FLOW CYTOMETRY; HUMAN; HUMAN CELL; MAJOR CLINICAL STUDY; PRIORITY JOURNAL;

ACUTE DISEASE; DATA INTERPRETATION, STATISTICAL; DIAGNOSIS, COMPUTER-ASSISTED; EXPERT SYSTEMS; FLOW CYTOMETRY; HUMANS; LEUKEMIA; LYMPHOMA, NON-HODGKIN; REPRODUCIBILITY OF RESULTS;

EID: 0029866694     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/cyto.990230202     Document Type: Article

References (20)

1. Alvey PL, Greaves MF: A computer program for interpreting immunophenotypic data as an aid to the diagnosis of leukemia. Leukaemia 1:527-540, 1987
2. Alvev PL, Myers CD, Greaves MF: High performance for expert systems: I Escaping from the demonstrator class Med Inform 1285-95, 1987.
3. Alvey PL, Myers CD, Greaves MF. High performance for expert systems: II. A system for leukaemia diagnosis. Med Inform 12:97-114. 1987
4. Bakker Shut TC, Doornbos RMP, de Grooth BG: ANALYSIS Software for graphical analysis of multidimensional flow cytometric list mode data. Comput Biomed Res 27:83-96, 1994.
5. Baldetorp B, Dalberg M, Holst U, Lindgren G: Statistical evaluation of cell kinetic data from DNA flow cytometry (FCM) by the EM algorithm Cytometry 10:695-705, 1989
6. Buddy L, Moms CW, Wilkins MF, Tarran GA, Burkill PH: Neural network analysis of flow cytometry data for 40 marine phytoplankton species. Cytometry 15:283-293, 1994
7. Diamond, LW, Nguyen DT, Andreeff M, Maiese RL, Braylan RC: A knowledge-based system for the interpretation of flow cytometry data in leukemias and lymphomas. Cytometry 17:266-273, 1994
8. Foon KA, Todd RF: Immunologic classification of leukemia and lymphoma. Blood 68:1-31, 1986.
9. Frankel DS, Olson RJ, Frankel SL, Chisholm SW: Use of a neural net computer system for analysis of flow cytometric data of phytoplankton populations. Cytometry 10:540-550, 1989.
10. Homburger HA. McCarthy R, Deodhar S: Assessment of interlaboratory variability in analytical cytology. Arch Pathol Lab Med 113: 667-672. 1989.
11. Janossy G, Campana D: The pathophysiological basis of immunodiagnosis in acute lymphoblastic leukaemia. Cancer Rev 8:91-122, 1988.
12. Marinez YN, Collins KF: Automation of a flow cytometry clinical and research laboratory Biomed Sci Instrum 29:301-305, 1993.
13. Molnar B, Szentirmay Z, Bodo M, Sugar J, Feher J: Application of multivariate, fuzzy set and neural network analysis in quantitative cytological examinations. Anal Cell Pathol 5.161-175, 1993
14. Nguyen DT, Diamond LW, Priolet G, Sultan C: Expert system design in hematology diagnosis. Methods Inf Med 31.82-89, 1992.
15. Ormerod MG, Payne AW, Watson JV: Improved program for the analysis of DNA histograms. Cytometry 8:637-641, 1987.
16. Petrovecki M, Marusic M, Dezelic G: An algorithm for leukaemia immunephenotype pattern recognition. Med Inform 18-11-21, 1993
17. Ravdin PM, Clark GM, Hough JJ, Owens MA, McGuirc WL: Neural network analysis of DNA flow cytometry histograms. Cytometry 14:74-80, 1993
18. Valet G, Valet M, Tschöpe D, Gabriel H, Rothe G, Kellermann W, Kahle H: Standardized, self learning flow cytometric list mode data classification with the CLASSIFI program system. Ann NY Acad Sci 677:233-251, 1992.
19. Verwer BJH, Terstappen LWMM: Automatic lineage assignment of acute leukemias by flow cytometry. Cytometry 14:862-875, 1993.
20. Williams WJ, Beutler E, Erslew AJ, Lichtman MA: Hematology, 4th ed. McGraw-Hill, New York, 1990.