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Proceedings Paper

Computer-Aided Diagnosis Of Leukemic Blood Cells
Author(s): U. Gunter; H. Harms; M. Haucke; H. M. Aus; V. ter Meulen
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Paper Abstract

In a first clinical test, computer programs are being used to diagnose leukemias. The data collected include blood samples from patients suffering from acute myelomonocytic-, acute monocytic- and acute promyelocytic, myeloblastic, prolymphocytic, chronic lymphocytic leukemias and leukemic transformed immunocytoma. The proper differentiation of the leukemic cells is essential because the therapy depends on the type of leukemia. The algorithms analyse the fine chromatin texture and distribution in the nuclei as well as size and shape parameters from the cells and nuclei. Cells with similar nuclei from different leukemias can be distinguished from each other by analyzing the cell cytoplasm images. Recognition of these subtle differences in the cells require an image sampling rate of 15-30 pixel/micron. The results for the entire data set correlate directly to established hematological parameters and support the previously published initial training set .

Paper Details

Date Published: 1 November 1982
PDF: 9 pages
Proc. SPIE 0375, Medical Imaging and Image Interpretation, (1 November 1982); doi: 10.1117/12.934651
Show Author Affiliations
U. Gunter, University of Wurzburg (W. Germany)
H. Harms, University of Wurzburg (W. Germany)
M. Haucke, University of Wurzburg (W. Germany)
H. M. Aus, University of Wurzburg (W. Germany)
V. ter Meulen, University of Wurzburg (W. Germany)


Published in SPIE Proceedings Vol. 0375:
Medical Imaging and Image Interpretation
Judith M. S. Prewitt, Editor(s)

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