PMID: 9181303Jun 1, 1997Paper

Counting mitoses by image processing in Feulgen stained breast cancer sections: the influence of resolution

Cytometry
J A BeliënA H van Ginkel

Abstract

Counting of mitotic cells has been shown to be of prognostic value in breast cancer in different retrospective studies. Up to now the number of mitoses is assessed mainly manually according to a standardized but strict protocol. Although such a manual procedure is reasonably reproducible, automatic counting of mitotic cells offers the potential for greater objectivity and reproducibility. This paper describes the influence of resolution on automatic recognition by image processing of mitotic cells in Feulgen stained breast cancer sections. Using the image recording, correction and segmentation procedure described in a previous study, five specimens were analyzed: one was used to serve as a training set and four were put aside for later use as independent test set. For each slide, objects from a pre-selected area were recorded at increasing resolution. For each object, contour features and optical density measurements were computed and stored in a data file for statistical analysis. The results showed that increased resolution using a 40x objective lowered the number of misclassified mitoses compared with a 20x objective (overall mean percentage of misclassified mitoses over training and all test specimens: 20x, 24.57; 40x, 7.96...Continue Reading

Citations

Feb 19, 1999·Journal of Clinical Pathology·P J van DiestJ P Baak
Feb 5, 2010·Human Pathology·André HuismanPaul J van Diest
May 13, 2008·Journal of Neuroscience Methods·Floris G WouterloodJeroen A M Beliën
Jan 30, 2008·Cytometry. Part a : the Journal of the International Society for Analytical Cytology·Levente FicsorBela Molnar
Dec 31, 2014·Medical Image Analysis·Mitko VetaJosien P W Pluim
Nov 5, 1999·The Journal of Pathology·J A BeliënJ P Baak

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