COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.

J. W. Bacus, W. A. Yasnoff, M. G. Belanger

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper describes the current status of automated analysis for the classification of blood cells in hematology, according to digital image processing and pattern recognition techniques. These techniques have developed very rapidly in the last few years, to the point where there are instruments working routinely in clinical laboratories automatically processing blood slides on a daily basis. It is estimated that worldwide at least 30,000 slides per day are being automatically processed by these new methods. As an example of this technology, the LARC (Leukocyte Automatic Recognition computer) system is discussed. A general review of the basic decision logic and hardware design of this system is presented with additional data relevant to clinical field trial evaluation and on-line operational evaluation. Additionally, current research in the areas of scene analysis for cell recognition, segmented versus band neutrophil classification, and red blood cell analysis, are discussed.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherIEEE
Pages24-35
Number of pages12
Publication statusPublished - 1977
Externally publishedYes
EventProc $-$ Annu Symp on Comput Appl in Med Care, 1st - Washington, DC, USA
Duration: Oct 3 1977Oct 5 1977

Other

OtherProc $-$ Annu Symp on Comput Appl in Med Care, 1st
CityWashington, DC, USA
Period10/3/7710/5/77

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bacus, J. W., Yasnoff, W. A., & Belanger, M. G. (1977). COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY. In Unknown Host Publication Title (pp. 24-35). IEEE.