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6th ESACP Congress, Heidelberg, April 7-11, 1999 |
A122
Automatic quantification of immunolabelled nuclei by image analysis in
breast carcinoma is based on three sequences: segmentation of all nuclei,
identification of cancer cell clumps and characterisation of immunolabelled
nuclei inside these clumps, in order to determine numerical density and
volume fraction of positive nuclei. Several strategies can be used for
characterisation of immunolabelled nuclei; they are more or less
sophisticated and time consuming, the simplest and most popular one is based
on a simple thresholding of the blue component of the colour image, the most
sophisticated methods use true colour segmentation. The final choice of the
most efficient stategy must be guided by the results of a quality control
procedure. Such a quality control has been carried out in our laboratory,
referring to a test base of two hundred and ninety eight images, from 18
invasive and in situ breast carcinomas and for the segmentation of cancer
cell clusters, which have been obtained using five different strategies..
QUALITY CONTROL OF AN AUTOMATIC IMAGE ANALYSIS PROCEDURE FOR
QUANTIFICATION OF IMMUNOLABELLED CANCER CELL NUCLEI : EVALUATION OF SEVERAL
STRATEGIES DEDICATED TO COLOUR CHARACTERISATION OF LABELLED NUCLEI IN
MAMMARY CARCINOMA.
Schüpp S 1, Herlin P 2, Huet G 2, Duigou F 2, Lebeau C 2, Chasle J 2,
Elmoataz A 1, Bloyet D 1
1) GREYC - ISMRA, UPRES-A CNRS 6072, Caen,
2) Laboratoire d'Anatomie Pathologique, Centre de Lutte Contre le
Cancer François Baclesse, Caen,
1-2) Pôle Traitment et Analyse d'Images de Basse Normandie, France