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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Medical & Biological...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Medical & Biological Engineering
Article . 1969 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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A study of the automation of cytodiagnosis

Authors: K Nishiki; Y Kinefuchi; K Tateisi; Fumio Hirao; T Ishiyama; Eiro Tsubura; T Sakabe; +7 Authors

A study of the automation of cytodiagnosis

Abstract

Clinical cytology is an important diagnostic procedure in the early detection of cancer. However, both the scarcity of cytologists and the time-consuming nature of the examination are hindering its application to mass survey. To alleviate this situation, a prototype apparatus was constructed so that the determination of malignancy could be made automatically. A spot of light is thrown upon a specimen. Scanning is performed over 10,000 cell nuclei. Optical density modulated by the nucleus is fed into a computer, which recognizes an individual nucleus as a single nucleus, classifies it into five area-levels, and totals the number of nuclei in each class. All the steps including the mechanical operation are completely automated. Preliminary tests revealed satisfactory results on the preparation made from Ehrlich's ascitic cell tumour. Because the installed computer has other several potentialities for yielding available criteria, the decision-making procedure should finally be worked out by a composite criteria.

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Keywords

Automation, Computers, Cytodiagnosis, Humans, Female, Electronics, Medical, Pattern Recognition, Automated

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Average
Related to Research communities
Cancer Research
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