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The effect of abnormal cell proportion on specimen classifier performanceAn analysis is presented of the results obtained from a cell classifier which is confronted with an abnormal/normal cell ratio which is different from the ratio assumed in the calibration of the classifier. False negative and false positive error rates are determined in advance for classifier operation, along with the necessary sample size in order to validate the predicted distributions. Changes are demonstrated to happen only regarding the false negative rate, where reductions in the abnormal cell rate below the expected rates would cause totally unreliable data. Substantial overproduction of abnormal cells would be quickly noticeable, while production rates beyond, but close to, the expected rates would only require more extensive sampling. Classifier systems for 10% proportions of abnormal cells are concluded to be possible, but difficulties are present with much lower rates
Document ID
19820046761
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Castleman, K. R.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
White, B. S.
(California Institute of Technology, Jet Propulsion Laboratory, Pasadena CA, United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1981
Publication Information
Publication: Cytometry
Volume: 2
Issue: 4, 19
Subject Category
Life Sciences (General)
Accession Number
82A30296
Funding Number(s)
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Other

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