COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.

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

COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English (US)
Title of host publication	Unknown Host Publication Title
Publisher	IEEE
Pages	24-35
Number of pages	12
State	Published - 1977
Externally published	Yes
Event	Proc $-$ Annu Symp on Comput Appl in Med Care, 1st - Washington, DC, USA Duration: Oct 3 1977 → Oct 5 1977

Other

Other	Proc $-$ Annu Symp on Comput Appl in Med Care, 1st
City	Washington, DC, USA
Period	10/3/77 → 10/5/77

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.",

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.",

author = "Bacus, {J. W.} and Yasnoff, {W. A.} and Belanger, {M. G.}",

year = "1977",

language = "English (US)",

pages = "24--35",

booktitle = "Unknown Host Publication Title",

publisher = "IEEE",

note = "Proc $-$ Annu Symp on Comput Appl in Med Care, 1st ; Conference date: 03-10-1977 Through 05-10-1977",

}

TY - CHAP

T1 - COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.

AU - Bacus, J. W.

AU - Yasnoff, W. A.

AU - Belanger, M. G.

PY - 1977

Y1 - 1977

N2 - 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.

AB - 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.

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M3 - Chapter

AN - SCOPUS:0017633097

SP - 24

EP - 35

BT - Unknown Host Publication Title

PB - IEEE

T2 - Proc $-$ Annu Symp on Comput Appl in Med Care, 1st

Y2 - 3 October 1977 through 5 October 1977

ER -

COMPUTER TECHNIQUES FOR CELL ANALYSIS IN HEMATOLOGY.

Abstract

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ASJC Scopus subject areas

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