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Estimating false positive and false negative error rates in cervical cell classification

LH Oliver, RS Poulsen and GT Toussaint

The performance of a cell recognition system on unknown data is often estimated in terms of its error rates on a test set. This paper investigates methods for producing estimates of error rates in cervical cell classification. Classification performance curves calculated using these methods are given for several classification schemes used to classify 1500 cervical cells.

Volume 25, Issue 7, pp. 696-701, 07/01/1977
Copyright © 1977 by The Histochemical Society


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The Journal of Histochemistry & Cytochemistry is owned, published, and licensed by The Histochemical Society © 1977